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Communication Cost Reduction with Partial Structure in Federated Learning

https://doi.org/10.3390/electronics10172081

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot

The EU General Data Protection Regulation (GDPR)

inferredcites →https://doi.org/10.1016/j.cie.2020.106854openalex-snapshot

A review of applications in federated learning

inferredcites →https://doi.org/10.1016/j.jnca.2018.05.003openalex-snapshot

Distributed learning of deep neural network over multiple agents

inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot

Deep learning in neural networks: An overview

inferredcites →https://doi.org/10.1049/trit.2018.1008openalex-snapshot

Artificial intelligence in Internet of things

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/access.2014.2325029openalex-snapshot

Big Data Deep Learning: Challenges and Perspectives

inferredcites →https://doi.org/10.1109/bibm.2015.7359756openalex-snapshot

Training word embeddings for deep learning in biomedical text mining tasks

inferredcites →https://doi.org/10.1109/icc.2019.8761315openalex-snapshot

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

inferredcites →https://doi.org/10.1109/iciev.2016.7760071openalex-snapshot

Application of deep learning to computer vision: A comprehensive study

inferredcites →https://doi.org/10.1109/infocom.2019.8737416openalex-snapshot

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot

Edge Computing: Vision and Challenges

inferredcites →https://doi.org/10.1109/jiot.2020.2998584openalex-snapshot

IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry

inferredcites →https://doi.org/10.1109/jsait.2020.2985917openalex-snapshot

Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations

inferredcites →https://doi.org/10.1109/jsait.2020.3042094openalex-snapshot

rTop-k: A Statistical Estimation Approach to Distributed SGD

inferredcites →https://doi.org/10.1109/mc.2017.9openalex-snapshot

The Emergence of Edge Computing

inferredcites →https://doi.org/10.1109/mcom.2017.1600885openalex-snapshot

Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks

inferredcites →https://doi.org/10.1109/mis.2017.23openalex-snapshot

Deep Learning-Based Document Modeling for Personality Detection from Text

inferredcites →https://doi.org/10.1109/taslp.2015.2422573openalex-snapshot

Multi-task Learning of Deep Neural Networks for Low-resource Speech Recognition

inferredcites →https://doi.org/10.3389/fams.2018.00062openalex-snapshot

Randomized Distributed Mean Estimation: Accuracy vs. Communication

inferredcites →https://doi.org/10.3390/jsan9040049openalex-snapshot

Novel Air Pollution Measurement System Based on Ethereum Blockchain

inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot

Communication-Efficient Learning of Deep Networks from Decentralized Data

inferredcites →https://doi.org/10.48550/arxiv.1610.02132openalex-snapshot

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

inferredcites →https://doi.org/10.48550/arxiv.1611.00429openalex-snapshot

Distributed Mean Estimation with Limited Communication

inferredcites →https://doi.org/10.48550/arxiv.1807.00459openalex-snapshot

How To Backdoor Federated Learning

inferredcites →https://doi.org/10.48550/arxiv.1811.03604openalex-snapshot

Federated Learning for Mobile Keyboard Prediction

inferredcites →https://doi.org/10.48550/arxiv.1812.07210openalex-snapshot

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-99-4742-3_63openalex-snapshot

A Review of Client Selection Mechanisms in Heterogeneous Federated Learning

inferred← citeshttps://doi.org/10.1007/s10462-023-10563-8openalex-snapshot

A systematic review of federated learning from clients’ perspective: challenges and solutions

inferred← citeshttps://doi.org/10.1007/s10462-024-10969-yopenalex-snapshot

Federated learning design and functional models: survey

inferred← citeshttps://doi.org/10.1080/08839514.2024.2410504openalex-snapshot

Privacy Issues, Attacks, Countermeasures and Open Problems in Federated Learning: A Survey

inferred← citeshttps://doi.org/10.1109/access.2023.3300221openalex-snapshot

Metaheuristics Algorithm-Based Minimization of Communication Costs in Federated Learning

inferred← citeshttps://doi.org/10.1109/access.2025.3570610openalex-snapshot

SMART-FL: Single-Shot Merged Adaptive Resource-Aware Tensor-Fusion for Efficient Federated Learning in Heterogeneous Cross-Silo Environments

inferred← citeshttps://doi.org/10.1109/access.2025.3573933openalex-snapshot

Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/jiot.2022.3230412openalex-snapshot

Efficient Asynchronous Federated Learning Research in the Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/jiot.2024.3435082openalex-snapshot

Prototypes Contrastive Learning Empowered Intelligent Diagnosis for Skin Lesion

inferred← citeshttps://doi.org/10.1109/tim.2023.3328073openalex-snapshot

Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning

inferred← citeshttps://doi.org/10.1111/exsy.70063openalex-snapshot

SoK : Federated Learning and Unlearning for Medical Image Analysis

inferred← citeshttps://doi.org/10.1145/3653448openalex-snapshot

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning

inferred← citeshttps://doi.org/10.3390/electronics11091393openalex-snapshot

Fed2A: Federated Learning Mechanism in Asynchronous and Adaptive Modes

inferred← citeshttps://doi.org/10.3390/fi16110415openalex-snapshot

Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends

inferred← citeshttps://doi.org/10.3390/s21206791openalex-snapshot

Efficient Gradient Updating Strategies with Adaptive Power Allocation for Federated Learning over Wireless Backhaul

inferred← citeshttps://doi.org/10.5815/ijmecs.2025.02.04openalex-snapshot

Unlocking Educational Excellence: LeveragingFederated Learning for Enhanced InstructorEvaluation and Student Success

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