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Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing

https://doi.org/10.1109/tmc.2021.3096846

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What this work says

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

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inferred← citeshttps://doi.org/10.1109/tmc.2023.3335403openalex-snapshot

Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants

inferred← citeshttps://doi.org/10.1109/tmc.2023.3337016openalex-snapshot

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets

inferred← citeshttps://doi.org/10.1109/tmc.2024.3366947openalex-snapshot

FedUC: A Unified Clustering Approach for Hierarchical Federated Learning

inferred← citeshttps://doi.org/10.1109/tmc.2024.3373506openalex-snapshot

Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing

inferred← citeshttps://doi.org/10.1109/tmc.2024.3416216openalex-snapshot

Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff

inferred← citeshttps://doi.org/10.1109/tmc.2024.3446271openalex-snapshot

FedASA: A Personalized Federated Learning With Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/tmc.2024.3457788openalex-snapshot

Democratizing Federated WiFi-Based Human Activity Recognition Using Hypothesis Transfer

inferred← citeshttps://doi.org/10.1109/tmc.2024.3492140openalex-snapshot

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing

inferred← citeshttps://doi.org/10.1109/tmc.2024.3510135openalex-snapshot

ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing

inferred← citeshttps://doi.org/10.1109/tmc.2025.3569407openalex-snapshot

Efficient Model Training in Edge Networks With Hierarchical Split Learning

inferred← citeshttps://doi.org/10.1109/tmc.2025.3569669openalex-snapshot

Compression Meets Security: Low-Complexity Linear Collaborative Federated Learning With Enhanced Accuracy

inferred← citeshttps://doi.org/10.1109/tmc.2025.3618185openalex-snapshot

Privacy-Preserving Rényi Layer-Wise Budget Allocation Against Gradient Leakage for Federated Learning

inferred← citeshttps://doi.org/10.1109/tmc.2025.3630332openalex-snapshot

Adaptive Clustering-Enabled Large-Scale Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/tmc.2025.3647655openalex-snapshot

KAFL-HD: Knowledge Alignment in Asynchronous Federated Learning With Heterogeneous Data

inferred← citeshttps://doi.org/10.1109/tmlcn.2025.3587205openalex-snapshot

User Handover Aware Hierarchical Federated Learning for Open RAN-Based Next-Generation Mobile Networks

inferred← citeshttps://doi.org/10.1109/tnet.2023.3244794openalex-snapshot

GRID: Gradient Routing With In-Network Aggregation for Distributed Training

inferred← citeshttps://doi.org/10.1109/tnet.2023.3299851openalex-snapshot

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing

inferred← citeshttps://doi.org/10.1109/tnet.2023.3301972openalex-snapshot

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning

inferred← citeshttps://doi.org/10.1109/tnet.2023.3316421openalex-snapshot

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing

inferred← citeshttps://doi.org/10.1109/tnet.2023.3329005openalex-snapshot

YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/tnet.2024.3363916openalex-snapshot

A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge

inferred← citeshttps://doi.org/10.1109/tnet.2024.3390416openalex-snapshot

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks

inferred← citeshttps://doi.org/10.1109/tnet.2024.3424444openalex-snapshot

Asynchronous Decentralized Federated Learning for Heterogeneous Devices

inferred← citeshttps://doi.org/10.1109/tnse.2022.3185116openalex-snapshot

Adaptive Federated Learning for Non-Convex Optimization Problems in Edge Computing Environment

inferred← citeshttps://doi.org/10.1109/tnse.2022.3190330openalex-snapshot

AceFL: Federated Learning Accelerating in 6G-Enabled Mobile Edge Computing Networks

inferred← citeshttps://doi.org/10.1109/tnse.2022.3225444openalex-snapshot

Heterogeneous Training Intensity for Federated Learning: A Deep Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.1109/tnse.2026.3675692openalex-snapshot

FedAIM: Graph-Driven Scheduling for Concurrent Asynchronous Federated Learning in Computing Power Networks

inferred← citeshttps://doi.org/10.1109/tnsm.2026.3657419openalex-snapshot

Contract-Based Incentive Mechanism for Long-Term Participation in Federated Learning

inferred← citeshttps://doi.org/10.1109/ton.2025.3603254openalex-snapshot

Heterogeneous Federated Learning Frameworks for Balancing Job Completion Time and Model Accuracy

inferred← citeshttps://doi.org/10.1109/tpds.2022.3218807openalex-snapshot

HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing

inferred← citeshttps://doi.org/10.1109/tpds.2023.3303967openalex-snapshot

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning

inferred← citeshttps://doi.org/10.1109/tpds.2026.3725721openalex-snapshot

Taming Staleness in Asynchronous Federated Learning With System Heterogeneity

inferred← citeshttps://doi.org/10.1109/tpds.2026.3735216openalex-snapshot

FLEX : Flexible Federated Learning With Asynchronous Peer-to-Peer Communication and Adaptive Aggregation

inferred← citeshttps://doi.org/10.1109/tsp.2023.3292497openalex-snapshot

FedUR: Federated Learning Optimization Through Adaptive Centralized Learning Optimizers

inferred← citeshttps://doi.org/10.1109/tvt.2023.3287355openalex-snapshot

Enhanced Hybrid Hierarchical Federated Edge Learning Over Heterogeneous Networks

inferred← citeshttps://doi.org/10.1109/twc.2023.3329375openalex-snapshot

Accelerating Wireless Federated Learning via Nesterov’s Momentum and Distributed Principal Component Analysis

inferred← citeshttps://doi.org/10.1109/twc.2025.3546448openalex-snapshot

Semi-Asynchronous Federated Split Learning for Computing-Limited Devices in Wireless Networks

inferred← citeshttps://doi.org/10.1109/wcnc57260.2024.10571281openalex-snapshot

Semantic Feature-Based Learning Framework for Energy-Limited Semantic Communication System

inferred← citeshttps://doi.org/10.1109/wcsp58612.2023.10404949openalex-snapshot

Adaptive Waiting Time Asynchronous Federated Learning in Edge Computing

inferred← citeshttps://doi.org/10.1111/exsy.13161openalex-snapshot

Clean‐label poisoning attacks on federated learning for IoT

inferred← citeshttps://doi.org/10.1145/3560905.3568503openalex-snapshot

TailorFL

inferred← citeshttps://doi.org/10.1145/3605573.3605582openalex-snapshot

ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks

inferred← citeshttps://doi.org/10.1145/3639825openalex-snapshot

Behave Differently when Clustering: A Semi-asynchronous Federated Learning Approach for IoT

inferred← citeshttps://doi.org/10.1145/3708657.3708690openalex-snapshot

Mobility-aware and Dynamic Resource Allocation for Federated Learning in Vehicular Edge Computing

inferred← citeshttps://doi.org/10.1145/3770854.3780170openalex-snapshot

Caesar: Optimizing Federated Learning via Low-deviation Compression

inferred← citeshttps://doi.org/10.1155/2023/6692995openalex-snapshot

Enhancing Fairness in Federated Learning: A Contribution‐Based Differentiated Model Approach

inferred← citeshttps://doi.org/10.17513/snt.40927openalex-snapshot

РАЗРАБОТКА МЕТОДА И АЛГОРИТМОВ АДАПТИВНОГО ФЕДЕРАТИВНОГО ОБУЧЕНИЯ С УЧЕТОМ РАСПРЕДЕЛЕННОГО ЗАПАЗДЫВАНИЯ КЛИЕНТСКИХ ОБНОВЛЕНИЙ

inferred← citeshttps://doi.org/10.17705/1cais.05419openalex-snapshot

How does Federated Learning Impact Decision-Making in Firms: A Systematic Literature Review

inferred← citeshttps://doi.org/10.2139/ssrn.6308734openalex-snapshot

FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning

inferred← citeshttps://doi.org/10.23919/ifipnetworking57963.2023.10186438openalex-snapshot

Federated Learning-Based In-Network Traffic Analysis on IoT Edge

inferred← citeshttps://doi.org/10.3233/jhs-240037openalex-snapshot

A trust-aware model based on reliability-based friendly relationship method in IoT networks

inferred← citeshttps://doi.org/10.3390/drones9020137openalex-snapshot

Federated Twin Delayed Deep Deterministic Policy Gradient for Delay and Energy Consumption Optimization in Urban Air Mobility with UAV-Assisted MEC

inferred← citeshttps://doi.org/10.3390/electronics12122689openalex-snapshot

MFLCES: Multi-Level Federated Edge Learning Algorithm Based on Client and Edge Server Selection

inferred← citeshttps://doi.org/10.3390/electronics13244893openalex-snapshot

Cross-Project Software Defect Prediction Using Differential Perception Combined with Inheritance Federated Learning

inferred← citeshttps://doi.org/10.3390/electronics14020366openalex-snapshot

Federated Learning for Extreme Label Noise: Enhanced Knowledge Distillation and Particle Swarm Optimization

inferred← citeshttps://doi.org/10.3390/electronics14132512openalex-snapshot

A Review on Federated Learning Architectures for Privacy-Preserving AI: Lightweight and Secure Cloud–Edge–End Collaboration

inferred← citeshttps://doi.org/10.3390/info15090550openalex-snapshot

Distributed Learning in Intelligent Transportation Systems: A Survey

inferred← citeshttps://doi.org/10.3390/math11214547openalex-snapshot

CVFL: A Chain-like and Verifiable Federated Learning Scheme with Computational Efficiency Based on Lagrange Interpolation Functions

inferred← citeshttps://doi.org/10.3390/math12060920openalex-snapshot

Federated Learning with Efficient Aggregation via Markov Decision Process in Edge Networks

inferred← citeshttps://doi.org/10.3390/math12223550openalex-snapshot

Large Language Model and Digital Twins Empowered Asynchronous Federated Learning for Secure Data Sharing in Intelligent Labeling

inferred← citeshttps://doi.org/10.3390/s26196278openalex-snapshot

Joint Vehicle Selection and Resource Allocation for Hierarchical Federated Learning in Internet of Vehicles

inferred← citeshttps://doi.org/10.3390/sym17101700openalex-snapshot

DRL-Based Adaptive Time Threshold Client Selection FL

inferred← citeshttps://doi.org/10.5753/reic.2026.8089openalex-snapshot

Distributed Machine Learning on Edge Computing: A Survey of Challenges and Techniques

inferred← citeshttps://doi.org/10.5753/sbrc.2026.19690openalex-snapshot

CAIROS: Controle Adaptativo do Aprendizado Federado em Redes Sem Fio

inferred← citeshttps://doi.org/10.70675/851ea73az7fedz485fza157z6aa9de5418fcopenalex-snapshot

Apprentissage fédéré de réseaux bayésiens préservant la confidentialité dans le cadre d’applications médicales personnalisées

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