Adaptive asynchronous federated learning

FedProc: Prototypical contrastive federated learning on non-IID data

(2023) Xutong Mu et al.   Future Generation Computer Systems-The International Journal of eScience

Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices

(2022) José Ángel Morell et al.   Future Generation Computer Systems-The International Journal of eScience

A state-of-the-art survey on solving non-IID data in Federated Learning

(2022) Xiaodong Ma et al.   Future Generation Computer Systems-The International Journal of eScience

High-efficient hierarchical federated learning on non-IID data with progressive collaboration

(2022) Yunyun Cai et al.   Future Generation Computer Systems-The International Journal of eScience

An Efficient Framework for Clustered Federated Learning

(2022) Avishek Ghosh et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Model compression and privacy preserving framework for federated learning

(2022) Xi Zhu et al.   Future Generation Computer Systems-The International Journal of eScience

Communication-Efficient Federated Learning via Quantized Compressed Sensing

(2022) Yongjeong Oh et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

(2021) Ming Chen et al.   Future Generation Computer Systems-The International Journal of eScience

An adaptive federated learning scheme with differential privacy preserving

(2021) Xiang Wu et al.   Future Generation Computer Systems-The International Journal of eScience

FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing

(2021) Qianpiao Ma et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Guest Editorial: Security and Privacy of Federated Learning Solutions for Industrial IoT Applications

(2021) Mohammad Shojafar et al.   IEEE Transactions on Industrial Informatics

Privacy-Preserving Federated Learning for Industrial Edge Computing via Hybrid Differential Privacy and Adaptive Compression

(2021) Bin Jiang et al.   IEEE Transactions on Industrial Informatics

A Survey on Distributed Machine Learning

(2020) Joost Verbraeken et al.   ACM COMPUTING SURVEYS

Accelerating Federated Learning via Momentum Gradient Descent

(2020) Wei Liu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Fast-Convergent Federated Learning

(2020) Hung T. Nguyen et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

(2020) Wenqi Shi et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead

(2020) Wentai Wu et al.   IEEE TRANSACTIONS ON COMPUTERS

Convergence Time Optimization for Federated Learning Over Wireless Networks

(2020) Mingzhe Chen et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

(2020) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

Scheduling Policies for Federated Learning in Wireless Networks

(2019) Howard H. Yang et al.   IEEE TRANSACTIONS ON COMMUNICATIONS