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A Review on Edge Large Language Models: Design, Execution, and Applications

https://doi.org/10.1145/3719664

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.neucom.2023.127063openalex-snapshot

RoFormer: Enhanced transformer with Rotary Position Embedding

inferredcites →https://doi.org/10.1038/s41586-024-07618-3openalex-snapshot

A multimodal generative AI copilot for human pathology

inferredcites →https://doi.org/10.1109/comst.2020.2970550openalex-snapshot

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/comst.2024.3393230openalex-snapshot

End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/cvpr52729.2023.01878openalex-snapshot

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

inferredcites →https://doi.org/10.1109/cvpr52733.2024.01224openalex-snapshot

Interactive Continual Learning: Fast and Slow Thinking

inferredcites →https://doi.org/10.1109/cvpr52733.2024.01398openalex-snapshot

VLP: Vision Language Planning for Autonomous Driving

inferredcites →https://doi.org/10.1109/dac18072.2020.9218516openalex-snapshot

Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference

inferredcites →https://doi.org/10.1109/hpca51647.2021.00018openalex-snapshot

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

inferredcites →https://doi.org/10.1109/hpca53966.2022.00082openalex-snapshot

TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer

inferredcites →https://doi.org/10.1109/icdcs60910.2024.00017openalex-snapshot

When the Edge Meets Transformers: Distributed Inference with Transformer Models

inferredcites →https://doi.org/10.1109/icdcs60910.2024.00103openalex-snapshot

GesturePrint: Enabling User Identification for mmWave-Based Gesture Recognition Systems

inferredcites →https://doi.org/10.1109/icra57147.2024.10611018openalex-snapshot

Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

inferredcites →https://doi.org/10.1109/isscc42615.2023.10067817openalex-snapshot

22.9 A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management

inferredcites →https://doi.org/10.1109/isscc42615.2023.10067842openalex-snapshot

16.1 MuITCIM: A 28nm $2.24 \mu\mathrm{J}$/Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers

inferredcites →https://doi.org/10.1109/jiot.2024.3485748openalex-snapshot

End-to-End Multitarget Flexible Job Shop Scheduling With Deep Reinforcement Learning

inferredcites →https://doi.org/10.1109/jproc.2022.3226481openalex-snapshot

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

inferredcites →https://doi.org/10.1109/micro50266.2020.00071openalex-snapshot

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference

inferredcites →https://doi.org/10.1109/micro56248.2022.00095openalex-snapshot

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

inferredcites →https://doi.org/10.1109/mnet.2024.3355116openalex-snapshot

Large-Scale Deterministic Networks: Architecture, Enabling Technologies, Case Study, and Future Directions

inferredcites →https://doi.org/10.1109/mwc.009.2300501openalex-snapshot

Distributed Foundation Models for Multi-Modal Learning in 6G Wireless Networks

inferredcites →https://doi.org/10.1109/sec50012.2020.00016openalex-snapshot

Spatula: Efficient cross-camera video analytics on large camera networks

inferredcites →https://doi.org/10.1109/tcad.2023.3273992openalex-snapshot

AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference With Transformers

inferredcites →https://doi.org/10.1109/tcad.2024.3438995openalex-snapshot

EASTER: Learning to Split Transformers at the Edge Robustly

inferredcites →https://doi.org/10.1109/tmc.2024.3415661openalex-snapshot

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach

inferredcites →https://doi.org/10.1109/tmc.2024.3513457openalex-snapshot

EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding

inferredcites →https://doi.org/10.1109/tvlsi.2023.3282046openalex-snapshot

X-Former: In-Memory Acceleration of Transformers

inferredcites →https://doi.org/10.1109/twc.2024.3497923openalex-snapshot

Beyond the Cloud: Edge Inference for Generative Large Language Models in Wireless Networks

inferredcites →https://doi.org/10.1145/3447993.3483274openalex-snapshot

Flexible high-resolution object detection on edge devices with tunable latency

inferredcites →https://doi.org/10.1145/3448974openalex-snapshot

Recurrent Neural Networks for Edge Intelligence

inferredcites →https://doi.org/10.1145/3453483.3454083openalex-snapshot

DNNFusion: accelerating deep neural networks execution with advanced operator fusion

inferredcites →https://doi.org/10.1145/3466752.3480095openalex-snapshot

EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference

inferredcites →https://doi.org/10.1145/3466752.3480125openalex-snapshot

Sanger: A Co-Design Framework for Enabling Sparse Attention using Reconfigurable Architecture

inferredcites →https://doi.org/10.1145/3470496.3527438openalex-snapshot

Mokey

inferredcites →https://doi.org/10.1145/3545176openalex-snapshot

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

inferredcites →https://doi.org/10.1145/3552326.3587438openalex-snapshot

Tabi: An Efficient Multi-Level Inference System for Large Language Models

inferredcites →https://doi.org/10.1145/3560815openalex-snapshot

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

inferredcites →https://doi.org/10.1145/3575693.3575698openalex-snapshot

STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining

inferredcites →https://doi.org/10.1145/3579371.3589038openalex-snapshot

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization

inferredcites →https://doi.org/10.1145/3579371.3589040openalex-snapshot

TaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language Processing

inferredcites →https://doi.org/10.1145/3589334.3648137openalex-snapshot

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

inferredcites →https://doi.org/10.1145/3589639openalex-snapshot

Resource Management in Mobile Edge Computing: A Comprehensive Survey

inferredcites →https://doi.org/10.1145/3597503.3623342openalex-snapshot

Large Language Models for Test-Free Fault Localization

inferredcites →https://doi.org/10.1145/3600006.3613165openalex-snapshot

Efficient Memory Management for Large Language Model Serving with PagedAttention

inferredcites →https://doi.org/10.1145/3613904.3642437openalex-snapshot

MAF: Exploring Mobile Acoustic Field for Hand-to-Face Gesture Interactions

inferredcites →https://doi.org/10.1145/3620666.3651384openalex-snapshot

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile

inferredcites →https://doi.org/10.1145/3625687.3625782openalex-snapshot

MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels

inferredcites →https://doi.org/10.1145/3626772.3657775openalex-snapshot

GraphGPT: Graph Instruction Tuning for Large Language Models

inferredcites →https://doi.org/10.1145/3636534.3649366openalex-snapshot

Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones

inferredcites →https://doi.org/10.1145/3636534.3690668openalex-snapshot

MELTing Point: Mobile Evaluation of Language Transformers

inferredcites →https://doi.org/10.1145/3637528.3672010openalex-snapshot

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems

inferredcites →https://doi.org/10.1145/3643540openalex-snapshot

Mental-LLM

inferredcites →https://doi.org/10.1145/3650200.3656628openalex-snapshot

An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices

inferredcites →https://doi.org/10.1145/3654777.3676382openalex-snapshot

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation

inferredcites →https://doi.org/10.1145/3654795openalex-snapshot

A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models

inferredcites →https://doi.org/10.1145/3660771openalex-snapshot

A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization

inferredcites →https://doi.org/10.1145/3660773openalex-snapshot

A Deep Dive into Large Language Models for Automated Bug Localization and Repair

inferredcites →https://doi.org/10.1145/3664647.3681190openalex-snapshot

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection

inferredcites →https://doi.org/10.1145/3694715.3695964openalex-snapshot

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

inferredcites →https://doi.org/10.1145/3714983.3714987openalex-snapshot

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

inferredcites →https://doi.org/10.1609/aaai.v34i05.6409openalex-snapshot

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

inferredcites →https://doi.org/10.1609/aaai.v37i7.26077openalex-snapshot

Multi-View Domain Adaptive Object Detection on Camera Networks

inferredcites →https://doi.org/10.1609/aaai.v37i9.26255openalex-snapshot

A Survey on Model Compression and Acceleration for Pretrained Language Models

inferredcites →https://doi.org/10.1609/aaai.v38i10.28960openalex-snapshot

Fluctuation-Based Adaptive Structured Pruning for Large Language Models

inferredcites →https://doi.org/10.1609/aaai.v38i12.29237openalex-snapshot

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

inferredcites →https://doi.org/10.1609/aaai.v38i17.29860openalex-snapshot

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

inferredcites →https://doi.org/10.1609/aaai.v38i17.29922openalex-snapshot

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference

inferredcites →https://doi.org/10.1609/aaai.v38i3.27963openalex-snapshot

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

inferredcites →https://doi.org/10.1609/aaai.v39i20.35444openalex-snapshot

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.195openalex-snapshot

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.37openalex-snapshot

TernaryBERT: Distillation-aware Ultra-low Bit BERT

inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.286openalex-snapshot

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning

inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.372openalex-snapshot

TinyBERT: Distilling BERT for Natural Language Understanding

inferredcites →https://doi.org/10.18653/v1/2021.acl-long.231openalex-snapshot

LeeBERT: Learned Early Exit for BERT with cross-level optimization

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.627openalex-snapshot

Understanding and Overcoming the Challenges of Efficient Transformer Quantization

inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.188openalex-snapshot

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.363openalex-snapshot

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.201openalex-snapshot

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.107openalex-snapshot

Structured Pruning Learns Compact and Accurate Models

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.279openalex-snapshot

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

inferredcites →https://doi.org/10.18653/v1/2023.acl-long.302openalex-snapshot

DISCO: Distilling Counterfactuals with Large Language Models

inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.189openalex-snapshot

Lion: Adversarial Distillation of Proprietary Large Language Models

inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.298openalex-snapshot

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.362openalex-snapshot

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.825openalex-snapshot

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.15openalex-snapshot

Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization

inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.454openalex-snapshot

MCC-KD: Multi-CoT Consistent Knowledge Distillation

inferredcites →https://doi.org/10.18653/v1/2024.acl-demos.16openalex-snapshot

LinguaLinked: Distributed Large Language Model Inference on Mobile Devices

inferredcites →https://doi.org/10.18653/v1/2024.acl-long.130openalex-snapshot

Surgical Feature-Space Decomposition of LLMs: Why, When and How?

inferredcites →https://doi.org/10.18653/v1/2024.acl-long.385openalex-snapshot

Dialogue Summarization with Mixture of Experts based on Large Language Models

inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.178openalex-snapshot

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.348openalex-snapshot

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.539openalex-snapshot

CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

inferredcites →https://doi.org/10.18653/v1/2024.findings-emnlp.240openalex-snapshot

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization

inferredcites →https://doi.org/10.18653/v1/2024.naacl-industry.1openalex-snapshot

HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices

inferredcites →https://doi.org/10.20944/preprints202310.1487.v2openalex-snapshot

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models

inferredcites →https://doi.org/10.3929/ethz-b-000653476openalex-snapshot

Distilling Reasoning Capabilities into Smaller Language Models

inferredcites →https://doi.org/10.48550/arxiv.1905.03197openalex-snapshot

Unified Language Model Pre-training for Natural Language Understanding and Generation

inferredcites →https://doi.org/10.48550/arxiv.1909.11942openalex-snapshot

ALBERT-Base v2 (albert_base_v2.tar.gz): preservation copy

inferredcites →https://doi.org/10.48550/arxiv.2001.08950openalex-snapshot

PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination

inferredcites →https://doi.org/10.48550/arxiv.2002.10957openalex-snapshot

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

inferredcites →https://doi.org/10.48550/arxiv.2004.02178openalex-snapshot

FastBERT: a Self-distilling BERT with Adaptive Inference Time

inferredcites →https://doi.org/10.48550/arxiv.2006.04152openalex-snapshot

BERT Loses Patience: Fast and Robust Inference with Early Exit

inferredcites →https://doi.org/10.48550/arxiv.2010.07003openalex-snapshot

Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

inferredcites →https://doi.org/10.48550/arxiv.2012.10557openalex-snapshot

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

inferredcites →https://doi.org/10.48550/arxiv.2106.09685openalex-snapshot

LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency

inferredcites →https://doi.org/10.48550/arxiv.2201.07705openalex-snapshot

GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge

inferredcites →https://doi.org/10.48550/arxiv.2201.13202openalex-snapshot

ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers' Data

inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot

Discernment and Social Learning as a Companion Training Layer

inferredcites →https://doi.org/10.48550/arxiv.2207.00112openalex-snapshot

Language model compression with weighted low-rank factorization

inferredcites →https://doi.org/10.48550/arxiv.2207.00172openalex-snapshot

Turbo: Opportunistic Enhancement for Edge Video Analytics

inferredcites →https://doi.org/10.48550/arxiv.2207.05608openalex-snapshot

Inner Monologue: Embodied Reasoning through Planning with Language Models

inferredcites →https://doi.org/10.48550/arxiv.2209.00099openalex-snapshot

Efficient Methods for Natural Language Processing: A Survey

inferredcites →https://doi.org/10.48550/arxiv.2209.01188openalex-snapshot

Petals: Collaborative Inference and Fine-tuning of Large Models

inferredcites →https://doi.org/10.48550/arxiv.2210.01351openalex-snapshot

Less is More: Task-aware Layer-wise Distillation for Language Model Compression

inferredcites →https://doi.org/10.48550/arxiv.2211.10438openalex-snapshot

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2211.17192openalex-snapshot

Fast Inference from Transformers via Speculative Decoding

inferredcites →https://doi.org/10.48550/arxiv.2301.00774openalex-snapshot

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

inferredcites →https://doi.org/10.48550/arxiv.2303.06865openalex-snapshot

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

inferredcites →https://doi.org/10.48550/arxiv.2304.01373openalex-snapshot

A Note on Normalized Emergence Timing (in Pythia Language Model Evaluations)

inferredcites →https://doi.org/10.48550/arxiv.2304.14402openalex-snapshot

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

inferredcites →https://doi.org/10.48550/arxiv.2305.02301openalex-snapshot

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

inferredcites →https://doi.org/10.48550/arxiv.2305.12129openalex-snapshot

Lifting the Curse of Capacity Gap in Distilling Language Models

inferredcites →https://doi.org/10.48550/arxiv.2306.03078openalex-snapshot

SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

inferredcites →https://doi.org/10.48550/arxiv.2306.11222openalex-snapshot

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation

inferredcites →https://doi.org/10.48550/arxiv.2306.11695openalex-snapshot

A Simple and Effective Pruning Approach for Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2306.14050openalex-snapshot

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step

inferredcites →https://doi.org/10.48550/arxiv.2307.12856openalex-snapshot

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

inferredcites →https://doi.org/10.48550/arxiv.2308.07201openalex-snapshot

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

inferredcites →https://doi.org/10.48550/arxiv.2308.13137openalex-snapshot

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2310.06694openalex-snapshot

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

inferredcites →https://doi.org/10.48550/arxiv.2310.08041openalex-snapshot

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2310.18961openalex-snapshot

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

inferredcites →https://doi.org/10.48550/arxiv.2312.11514openalex-snapshot

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

inferredcites →https://doi.org/10.48550/arxiv.2401.06118openalex-snapshot

Extreme Compression of Large Language Models via Additive Quantization

inferredcites →https://doi.org/10.48550/arxiv.2401.09670openalex-snapshot

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

inferredcites →https://doi.org/10.48550/arxiv.2401.15024openalex-snapshot

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

inferredcites →https://doi.org/10.48550/arxiv.2402.04396openalex-snapshot

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

inferredcites →https://doi.org/10.48550/arxiv.2402.14905openalex-snapshot

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

inferredcites →https://doi.org/10.48550/arxiv.2402.16880openalex-snapshot

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation

inferredcites →https://doi.org/10.52202/068431-0323openalex-snapshot

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

inferredcites →https://doi.org/10.52202/068431-1970openalex-snapshot

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

inferredcites →https://doi.org/10.52202/068431-2198openalex-snapshot

LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale

inferredcites →https://doi.org/10.52202/075280-0220openalex-snapshot

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

inferredcites →https://doi.org/10.52202/075280-0540openalex-snapshot

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

inferredcites →https://doi.org/10.52202/075280-0826openalex-snapshot

Matrix Compression via Randomized Low Rank and Low Precision Factorization

inferredcites →https://doi.org/10.52202/075280-1314openalex-snapshot

SpecTr: Fast Speculative Decoding via Optimal Transport

inferredcites →https://doi.org/10.52202/075280-1824openalex-snapshot

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

inferredcites →https://doi.org/10.52202/075280-2041openalex-snapshot

Propagating Knowledge Updates to LMs Through Distillation

inferredcites →https://doi.org/10.52202/075280-3295openalex-snapshot

Language Models Meet World Models: Embodied Experiences Enhance Language Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-05727-3_36openalex-snapshot

A Parameter-Efficient Approach to Distilling Large Language Models via Meta-learning

inferred← citeshttps://doi.org/10.1007/978-3-032-23335-6_24openalex-snapshot

A Theoretical Evaluation of Distributed Large Language Model Inference on a Raspberry Pi 5 Edge Cluster

inferred← citeshttps://doi.org/10.1007/978-3-032-23607-4_19openalex-snapshot

The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI

inferred← citeshttps://doi.org/10.1007/978-3-032-38098-2_35openalex-snapshot

Latent-CURE: Interpretable Breast Cancer Diagnosis via Dual-Asymmetric Chain-of-Thought

inferred← citeshttps://doi.org/10.1007/978-3-032-39823-9_37openalex-snapshot

SLM-Driven Schema Evolution for IoT Data Streams

inferred← citeshttps://doi.org/10.1007/978-981-92-0378-9_24openalex-snapshot

RVLLM-Bench: A Comprehensive Benchmark for Large Language Model Inference with RISC-V Vector Extension

inferred← citeshttps://doi.org/10.1007/s10499-026-02539-6openalex-snapshot

Deep multimodal fusion for aquaculture: a comprehensive review

inferred← citeshttps://doi.org/10.1007/s10515-026-00676-zopenalex-snapshot

NavAI: an application-agnostic llm framework for navigation tasks in virtual reality environments

inferred← citeshttps://doi.org/10.1007/s10694-026-02000-3openalex-snapshot

Using Multimodal Large Language Models for False Alarm Reduction in Image-Based Fire Detection

inferred← citeshttps://doi.org/10.1007/s10994-026-07142-7openalex-snapshot

Federated Learning for Large Language Models: Opportunities, Challenges, and Open Research Directions

inferred← citeshttps://doi.org/10.1007/s13369-026-11206-0openalex-snapshot

BiSPECTRAX-FND: A Bilingual Transformer Framework for Fake News Detection

inferred← citeshttps://doi.org/10.1007/s40747-025-02200-4openalex-snapshot

Multi-tier dynamic storage of KV cache for LLM inference under resource-constrained conditions

inferred← citeshttps://doi.org/10.1007/s44163-025-00334-5openalex-snapshot

A review of large language models and the recommendation task

inferred← citeshttps://doi.org/10.1007/s44163-026-02054-wopenalex-snapshot

Local LLMs as a plasticity layer for fixed cloud LLMs

inferred← citeshttps://doi.org/10.1007/s44336-025-00017-wopenalex-snapshot

Towards training-free long video understanding: methods, benchmarks, and open challenges

inferred← citeshttps://doi.org/10.1007/s44515-026-00018-wopenalex-snapshot

Knowledge Accuracy and Response Characteristics of an On-Device Large Language Model in Building Environmental Engineering: a Preliminary Case Study of EXAONE 4.0 1.2B Using ChatGPT-4o as a Cloud Reference

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2025.102588openalex-snapshot

A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130665openalex-snapshot

Hierarchical motion control framework based on SLM-guided and learning-enhanced NMPC for autonomous underwater vehicles

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130838openalex-snapshot

DKF: Domain knowledge fusion in progressive incremental learning for multi-domain machine translation

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130991openalex-snapshot

CSLLM: Code-Specific Large Language Models—A Survey

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134108openalex-snapshot

A workflow-aligned multimodal framework for interpretable breast cancer diagnosis and molecular subtyping

inferred← citeshttps://doi.org/10.1016/j.future.2026.108415openalex-snapshot

AWTO: A latency-optimized task offloading scheme for LLM-driven agentic workflows on heterogeneous edge

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103575openalex-snapshot

Object detection with multimodal large vision-language models: An in-depth review

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103752openalex-snapshot

Verifying energy generation via edge LLM for web3-based decentralized clean energy networks

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104577openalex-snapshot

Communication-efficient agentic edge intelligence: A survey of federated multi-agent information fusion for LLM-driven edge AI

inferred← citeshttps://doi.org/10.1016/j.iot.2026.102032openalex-snapshot

Hardware-software co-design for edge computing in bridge monitoring: Heterogeneous multi-MCU architecture with Q-Learning augmented PSO

inferred← citeshttps://doi.org/10.1016/j.jmapro.2025.11.035openalex-snapshot

AI-powered language models for alloy design and laser-based manufacturing: A review of NLP applications in materials science

inferred← citeshttps://doi.org/10.1016/j.rser.2025.116218openalex-snapshot

Beyond automation: Unveiling the potential of agentic intelligence

inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103826openalex-snapshot

GQoD: Group-aware quantization for efficient layer-wise pipelined inference of Multi-Exit BERT on end devices

inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103834openalex-snapshot

GraphDelta: A distributed incremental framework for efficient dynamic graph computing in edge intelligence

inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.104020openalex-snapshot

Towards robust privacy unlearning in edge-hosted large language models via attack-aware preference optimization

inferred← citeshttps://doi.org/10.1021/acsami.5c14054openalex-snapshot

Recent Progress in Wearable Bioelectronics for Theranostics and Perspectives with Artificial Intelligence

inferred← citeshttps://doi.org/10.1038/s44335-025-00040-6openalex-snapshot

Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things

inferred← citeshttps://doi.org/10.1051/shsconf/202623603026openalex-snapshot

The Deviation and Influencing Factors of Self Personality Cognition and Social Media Behavior among Young People

inferred← citeshttps://doi.org/10.1061/9780784486962.010openalex-snapshot

Talk, See, Support (TSS): A Wearable Multimodal, Intelligent, Agentic LLM-Powered Construction Assistant for Real-Time On-Site Guidance and Compliance Monitoring

inferred← citeshttps://doi.org/10.1080/01431161.2026.2668092openalex-snapshot

A lightweight model RDMSegNet enabling UAV-Based high-resolution mapping of Sonneratia apetala for mangrove ecosystem ecological monitoring

inferred← citeshttps://doi.org/10.1088/1674-4926/25070029openalex-snapshot

Contrastive learning for data-efficient substrate deoxidation monitoring in edge-side adaptive molecular beam epitaxy systems

inferred← citeshttps://doi.org/10.1088/2634-4386/ae5088openalex-snapshot

More than MACs: exploring the role of neuromorphic engineering in the age of LLMs

inferred← citeshttps://doi.org/10.1108/oir-01-2025-0049openalex-snapshot

A bibliometric analysis of large language models in China

inferred← citeshttps://doi.org/10.1109/2575-8411.2026.00065openalex-snapshot

Dual-Blade: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference

inferred← citeshttps://doi.org/10.1109/access.2025.3610994openalex-snapshot

A Review of Large Language Models for Energy Systems: Applications, Challenges, and Future Prospects

inferred← citeshttps://doi.org/10.1109/access.2025.3648050openalex-snapshot

Distributed Modularization of Thought: Lets Small Rival Large LMs

inferred← citeshttps://doi.org/10.1109/access.2026.3654676openalex-snapshot

Visual Question Answering for Intelligent Communication Systems: A Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2026.3665806openalex-snapshot

DSVA: An Iterative Refinement Multi-Agent Framework for NL-to-MTL Translation

inferred← citeshttps://doi.org/10.1109/access.2026.3720106openalex-snapshot

A Survey of Dynamic Token Computation in Transformers: Taxonomy, Stability, and Budget-Aware Evaluation

inferred← citeshttps://doi.org/10.1109/access.2026.3720562openalex-snapshot

In-Browser Split Inference for Autoregressive Large Language Models With Activation Quantization

inferred← citeshttps://doi.org/10.1109/aemcse65292.2025.11042760openalex-snapshot

Research on lightweight optimization of large language models for resource-constrained environments

inferred← citeshttps://doi.org/10.1109/aibthings66987.2025.11296161openalex-snapshot

A Conceptual Framework for Smart Disaster Response Using IoA and IoT for Smart Cities

inferred← citeshttps://doi.org/10.1109/aibthings66987.2025.11296199openalex-snapshot

Technological Interventions To Improve Novice Driver Safety: A Review of Current Technologies and Future Directions

inferred← citeshttps://doi.org/10.1109/aict67988.2025.11268627openalex-snapshot

Efficient CV Parsing Using Small Language Models: Addressing Data Privacy and Resource Constraints in HR Systems

inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00018openalex-snapshot

Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians

inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00022openalex-snapshot

TADEL: Task-Aware Dynamic Ensemble of Lightweight LLMs for Improved Inference Accuracy in Edge AI

inferred← citeshttps://doi.org/10.1109/asap65064.2025.00031openalex-snapshot

ELLIE: Energy-Efficient LLM Inference at the Edge Via Prefill-Decode Splitting

inferred← citeshttps://doi.org/10.1109/asew67777.2025.00067openalex-snapshot

NavAI: A Generalizable LLM Framework for Navigation Tasks in Virtual Reality Environments

inferred← citeshttps://doi.org/10.1109/ccai69603.2026.11642022openalex-snapshot

A CIM-Aware Roofline Framework for Evaluating Compute-in-Memory Adaptation in Large Language Model Inference

inferred← citeshttps://doi.org/10.1109/ccwc67433.2026.11393707openalex-snapshot

Lightweight Explainability for RAG Pipelines at the Edge: A Real-Time Attribution Layer

inferred← citeshttps://doi.org/10.1109/chilecon66915.2025.11476525openalex-snapshot

Enhancing Remote Monitoring Applications Using Hybrid IoT, Cloud Services and AI-Driven Tools

inferred← citeshttps://doi.org/10.1109/cisr70722.2026.11680467openalex-snapshot

Latency Optimization of Cascaded Voice Dialogue Systems with a Pipeline-Parallel Streaming Architecture

inferred← citeshttps://doi.org/10.1109/comst.2026.3651702openalex-snapshot

Toward Edge General Intelligence With Agentic AI and Agentification: Concepts, Technologies, and Future Directions

inferred← citeshttps://doi.org/10.1109/delcon68055.2025.11400330openalex-snapshot

Adaptive Communication Protocols for Manager-Worker Small LLM Multi-Agent Systems in Resource-Constrained Environments

inferred← citeshttps://doi.org/10.1109/fllm67465.2025.11391195openalex-snapshot

Finetune-Then-Merge: Democratizing Large Language Model Accessibility Through Efficiency Optimization

inferred← citeshttps://doi.org/10.1109/fmsys72110.2026.00014openalex-snapshot

UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models

inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11211334openalex-snapshot

Using Deep Learning Methods to Achieve Efficient Deployment and Resource Scheduling Optimization of Deepseek Large Models in Linux Systems

inferred← citeshttps://doi.org/10.1109/icad69378.2026.11608651openalex-snapshot

A Privacy-Preserving On-Device Multi-Agent Architecture for AI PC (POMA) Workflow Automation

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460531openalex-snapshot

CIMRAG: CIM-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based Llms

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463749openalex-snapshot

Contrastive Distillation of Emotion Knowledge from LLMS for Zero-Shot Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464123openalex-snapshot

ECG-Agent: On-Device Tool-Calling Agent for ECG Multi-Turn Dialogue

inferred← citeshttps://doi.org/10.1109/icca69928.2026.11618031openalex-snapshot

Real-time Intelligent Identification of UAV RF Fingerprints Based on YOLO26 and Embedded System Validation

inferred← citeshttps://doi.org/10.1109/iccit68739.2025.11491394openalex-snapshot

An Intelligent Machine and Deep Learning Framework for Fake News Detection

inferred← citeshttps://doi.org/10.1109/iccsc71566.2026.11650337openalex-snapshot

Application-Level Feasibility of on-Device AI for Mobile Applications

inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00089openalex-snapshot

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models

inferred← citeshttps://doi.org/10.1109/icee67165.2025.11409756openalex-snapshot

Efficient Encrypted Memory for Edge AI Using Co-Design

inferred← citeshttps://doi.org/10.1109/icici68773.2026.11581014openalex-snapshot

Latency-Aware Co-Design Framework for ARM– NPU Heterogeneous Edge Architectures, Enabling Real-Time Speech Recognition with Deterministic Timing Guarantees

inferred← citeshttps://doi.org/10.1109/icisessc68634.2026.11542604openalex-snapshot

Adaptive Edge-LLMs: Unifying Compression, Distillation, and Federated Learning for IoT

inferred← citeshttps://doi.org/10.1109/icisessc68634.2026.11542686openalex-snapshot

Effective Lightweight Language Models for Edge Deployment in Low-Resource Settings

inferred← citeshttps://doi.org/10.1109/icoecit68303.2026.11497544openalex-snapshot

Superintelligent NLP at the Edge: AI-Driven Cloud-Orchestrated Realtime Cognitive Interfaces

inferred← citeshttps://doi.org/10.1109/ictc66702.2025.11388211openalex-snapshot

Research on Cloud-Edge Computing for LLM

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00018openalex-snapshot

Large or Small? Cloud or Edge? Investigating the Use of Language Models for Smart Drone Services

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00022openalex-snapshot

Service Integrity of LLM-Driven Edge Web Services Under Semantic Backdoor Attacks

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00035openalex-snapshot

CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00127openalex-snapshot

SG-LR QoS: Sparse-Gating and Layered Low-Rank Based Lightweight QoS Monitoring for Multi-Tenant Clouds

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00166openalex-snapshot

DualTeach: Disagreement-Aware Dual-Teacher Distillation for Reliable Agentic Services

inferred← citeshttps://doi.org/10.1109/ies71033.2026.11702671openalex-snapshot

Comparative Evaluation of GGUF and GPTQ Quantization for Llama 3.1 Inference on x86 and ARM Architectures

inferred← citeshttps://doi.org/10.1109/infinitys69204.2026.11665967openalex-snapshot

Design and Implementation of a Large Language Model-Based Smart Assistant to Support Daily Activities

inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571548openalex-snapshot

A Cloud-Edge Collaborative System for Efficient LLM Fine-Tuning with Backbone Activation Caching

inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571647openalex-snapshot

Joint Optimization of Secure and Energy Efficient Retrieval Augmented Generation for Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562617openalex-snapshot

Empirical Study of Process Reward-Guided Model Ensemble for Edge Reasoning

inferred← citeshttps://doi.org/10.1109/iwqos70441.2026.11661225openalex-snapshot

Ygg: Tree-Based Collaborative Speculative Decoding with Token-Only Transmission

inferred← citeshttps://doi.org/10.1109/jiot.2026.3709703openalex-snapshot

Co-Optimizing Request Scheduling and KV Caching for Edge LLM Serving

inferred← citeshttps://doi.org/10.1109/lca.2026.3659512openalex-snapshot

De-Quantization Penalties for Interactive LLM Inference on Prosumer GPUs

inferred← citeshttps://doi.org/10.1109/lcn65610.2025.11146293openalex-snapshot

Two-Sided Matching for Batch-Aware LLM Request Scheduling in Edge Networks

inferred← citeshttps://doi.org/10.1109/mcom.001.2400717openalex-snapshot

The MoE-Empowered Edge LLMS Deployment: Architecture, Challenges, and Opportunities

inferred← citeshttps://doi.org/10.1109/mcom.001.2500469openalex-snapshot

CORE: Toward Ubiquitous 6G Intelligence Through Collaborative Orchestration of Large Language Model Agents Over Hierarchical Edge

inferred← citeshttps://doi.org/10.1109/mcom.001.2500472openalex-snapshot

Prompt-Driven Low-Altitude Edge Intelligence: Modular Agents and Generative Reasoning

inferred← citeshttps://doi.org/10.1109/miot.2025.3608631openalex-snapshot

From Cloud to Edge: Enabling Offline IoT With Small-Scale Language Models

inferred← citeshttps://doi.org/10.1109/mipro70003.2026.11591742openalex-snapshot

Characterizing Prefill and Decode Regimes for Edge LLM Inference

inferred← citeshttps://doi.org/10.1109/msn69125.2025.00052openalex-snapshot

Memory-Efficient On-Device Fine-Tuning of LLMs with Dual-Adapter Side Networks

inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3569291openalex-snapshot

A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols

inferred← citeshttps://doi.org/10.1109/ojcs.2025.3580498openalex-snapshot

LLMs on a Budget: System-Level Approaches to Power-Efficient and Scalable Fine-Tuning

inferred← citeshttps://doi.org/10.1109/percomworkshops68308.2026.11585382openalex-snapshot

Performant and Small: Can We Have Both? SLMs on Mobile Devices for Healthcare Chatbots

inferred← citeshttps://doi.org/10.1109/smartagrisusy68475.2025.11466843openalex-snapshot

Toward Lightweight IoC Extraction in IoT: The Role of Small Language Models

inferred← citeshttps://doi.org/10.1109/tai.2026.3656155openalex-snapshot

Deployment-Aware Compression of Large Language Models for Edge Intelligence: A System-Level Survey

inferred← citeshttps://doi.org/10.1109/tcc.2026.3710336openalex-snapshot

BGSG: A Bi-Level Genetic Algorithm to Stackelberg Diagnosis Game for Edge Service Performance Monitoring

inferred← citeshttps://doi.org/10.1109/tccn.2025.3612760openalex-snapshot

Toward Edge General Intelligence With Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

inferred← citeshttps://doi.org/10.1109/tcomm.2026.3704192openalex-snapshot

Generative AI for Wireless Communication and Sensing: Toward Unified Foundation Models

inferred← citeshttps://doi.org/10.1109/tencon66050.2025.11375380openalex-snapshot

Efficient Task Scheduling Algorithms for Decentralized Large Language Model Serving

inferred← citeshttps://doi.org/10.1109/tgcn.2026.3676823openalex-snapshot

Game-Based LLM Inference Task Offloading for Edge Computing System

inferred← citeshttps://doi.org/10.1109/tgrs.2026.3715319openalex-snapshot

Concept Disentangled Transformer for Hyperspectral Image Classification

inferred← citeshttps://doi.org/10.1109/tmc.2025.3609546openalex-snapshot

E2E Hybrid Computation Offloading for Complex MEC System

inferred← citeshttps://doi.org/10.1109/tmc.2026.3664415openalex-snapshot

SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference

inferred← citeshttps://doi.org/10.1109/tmc.2026.3667591openalex-snapshot

EdgeSD: Efficient Speculative Decoding With Vision-Decoding Disaggregation for MLLM Inference in Edge-Cloud Networks

inferred← citeshttps://doi.org/10.1109/tmc.2026.3676689openalex-snapshot

E$^{2}$LLM: Structure-Guided Efficient Inference for LLMs in Distributed Edge-IoT Environments

inferred← citeshttps://doi.org/10.1109/tnnls.2026.3658485openalex-snapshot

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/tnse.2026.3694751openalex-snapshot

PC-FT: A Lightweight and Utility-Preserving Private Fine-Tuning Framework for Edge-Based Agentic AI

inferred← citeshttps://doi.org/10.1109/tvcg.2026.3693354openalex-snapshot

AIvaluateXR: An Evaluation Framework for On-Device AI in XR With Benchmarking Results

inferred← citeshttps://doi.org/10.1109/vrw70859.2026.00020openalex-snapshot

Xrbit: Toward Breaking the Thermodynamic Wall of Persistent LLMs in Mobile XR

inferred← citeshttps://doi.org/10.1145/3701716.3719642openalex-snapshot

Multimodal Intent Recognition in E-Commerce: Challenges, Innovations, and Lightweight Solutions

inferred← citeshttps://doi.org/10.1145/3712285.3759768openalex-snapshot

Characterizing Performance, Power, and Energy of AMD CDNA3 GPU Family

inferred← citeshttps://doi.org/10.1145/3724420openalex-snapshot

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models

inferred← citeshttps://doi.org/10.1145/3748273.3749213openalex-snapshot

LLMs on Edge: Network Traffic Characteristics of Distributed Inference under the Loupe

inferred← citeshttps://doi.org/10.1145/3773966.3777961openalex-snapshot

On-Device Large Language Models for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3774906.3802768openalex-snapshot

LLMSEG: Semantic Segmentation and Few-Shot Recognition of Human Activity Recognition Data Using Large Language Models

inferred← citeshttps://doi.org/10.1145/3774906.3802796openalex-snapshot

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling

inferred← citeshttps://doi.org/10.1145/3779212.3790161openalex-snapshot

FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning

inferred← citeshttps://doi.org/10.1145/3800227.3800276openalex-snapshot

Research on NL2SQL in the logistics field based on large language models under resource constraints

inferred← citeshttps://doi.org/10.1145/3809166openalex-snapshot

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities

inferred← citeshttps://doi.org/10.1145/3812836.3814998openalex-snapshot

Edge-LLM-Bench: Characterising LLM Inference on Raspberry Pi 5 with Hailo-10H NPU Acceleration

inferred← citeshttps://doi.org/10.1145/3829079openalex-snapshot

Generative AI at the Edge: A Comprehensive Survey of Architectures, Hardware and Applications

inferred← citeshttps://doi.org/10.12794/metadc2443352openalex-snapshot

Audo-Sight: Enabling Ambient Interaction for Blind and Visually Impaired Individuals

inferred← citeshttps://doi.org/10.1360/nso/20260016openalex-snapshot

A survey on edge multimodal large models: Compression, inference acceleration, and applications

inferred← citeshttps://doi.org/10.1365/s40702-026-01283-yopenalex-snapshot

Agentenbasierte Fahrgastinformationssysteme für den ÖPNV

inferred← citeshttps://doi.org/10.20935/acadai8571openalex-snapshot

Cost-effective on-premises multimodal RAG deployment with Kubernetes: a GroundX case study

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10102575/v1openalex-snapshot

Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Literature Review

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10241290/v1openalex-snapshot

A Bibliometric Review of Emerging Trends and Strategic Mapping of Defense Mechanisms in Large Language Models from 2024 to 2026

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10410801/v1openalex-snapshot

Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges

inferred← citeshttps://doi.org/10.2139/ssrn.5668177openalex-snapshot

Adaptive Agentic Meta-Controller (AAMC): A Reinforcement Learning Framework for Intelligent SLM/LLM Orchestration

inferred← citeshttps://doi.org/10.2139/ssrn.6902610openalex-snapshot

From Reactive Scheduling to Adaptive Coordination: A Predictive - Cognitive System for Resource‑Aware Task Placement in Edge Environments

inferred← citeshttps://doi.org/10.26599/tst.2025.9010166openalex-snapshot

Efficient Inference for Edge Large Language Models: A Survey

inferred← citeshttps://doi.org/10.3389/fphys.2025.1678364openalex-snapshot

Profile-aided distillation framework for personalized sleep analysis with compact models using LLM-guided synthetic data

inferred← citeshttps://doi.org/10.3389/friot.2026.1883673openalex-snapshot

Artificial intelligence-driven resource management in edge-cloud computing continuum for internet of things applications: new trends and future directions

inferred← citeshttps://doi.org/10.3389/friot.2026.1886609openalex-snapshot

Conceptualising local AI infrastructure using small language models (SLMs) for primary education

inferred← citeshttps://doi.org/10.3390/bdcc9030061openalex-snapshot

Transitioning from TinyML to Edge GenAI: A Review

inferred← citeshttps://doi.org/10.3390/electronics14132718openalex-snapshot

Comparative Study on Energy Consumption of Neural Networks by Scaling of Weight-Memory Energy Versus Computing Energy for Implementing Low-Power Edge Intelligence

inferred← citeshttps://doi.org/10.3390/electronics15112451openalex-snapshot

Benchmarking Large Language Model Inference on Limited-Resource Edge Systems

inferred← citeshttps://doi.org/10.3390/electronics15122547openalex-snapshot

Local LLMs for Industrial Supervision and Control: An Edge AI Event-Driven Architecture for Proactive Operational Context Management in Real Industrial Environments

inferred← citeshttps://doi.org/10.3390/electronics15163579openalex-snapshot

LLM-Driven Context-Aware Health Monitoring for Resource-Constrained Edge Devices

inferred← citeshttps://doi.org/10.3390/electronics15184056openalex-snapshot

Low-Resource SLM Models for Elastic Semantic Search

inferred← citeshttps://doi.org/10.3390/fi18050265openalex-snapshot

Graph-Aware Scheduling for Multi-Agent Workflows in Edge-Cloud Environments

inferred← citeshttps://doi.org/10.3390/s26072022openalex-snapshot

Large-Scale Model-Enhanced Vision-Language Navigation: Recent Advances, Practical Applications, and Future Challenges

inferred← citeshttps://doi.org/10.3390/s26072034openalex-snapshot

From Sensing to Sense-Making: A Framework for On-Person Intelligence with Wearable Biosensors and Edge LLMs

inferred← citeshttps://doi.org/10.3390/s26123753openalex-snapshot

An Edge–Cloud Collaborative ECG-Assisted Diagnostic System Leveraging Cross-Lead Knowledge Distillation and Large Language Models

inferred← citeshttps://doi.org/10.3390/sym18050766openalex-snapshot

Complexity Analysis for Categorized Edge Language Models

inferred← citeshttps://doi.org/10.35467/sdq/217364openalex-snapshot

The dual-use dilemma of generative artificial intelligence in cybersecurity: Navigating the explosive growth in offensive and defensive applications

inferred← citeshttps://doi.org/10.3724/bnsfc-2025-0285openalex-snapshot

Fundamental Theory and Key Technologies for Information System and Security Management of Low-altitude Economy

inferred← citeshttps://doi.org/10.4018/979-8-3373-7355-3.ch003openalex-snapshot

AI-Powered Authentication and Access Control in IoT for Autonomous Vehicles

inferred← citeshttps://doi.org/10.55056/jec.1000openalex-snapshot

Edge intelligence unleashed: a survey on deploying large language models in resource-constrained environments

inferred← citeshttps://doi.org/10.55640/ijdsml-05-01-25openalex-snapshot

A Review of Large Language Models in Edge Computing: Applications, Challenges, Benefits, and Deployment Strategies

inferred← citeshttps://doi.org/10.7717/peerj-cs.3769openalex-snapshot

Real-time and offline large language models on edge devices: a systematic review

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