CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework

16 April 2021

Papers citing "CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework"

6 / 6 papers shown

Title
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Marc Katzef Andrew C. Cullen T. Alpcan C. Leckie Justin Kopacz 30 0 0 23 Mar 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 22 25 0 17 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 42 44 0 16 Jan 2023
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 40 13 0 27 Sep 2022
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 247 0 09 Sep 2021
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 19 61 0 14 Oct 2020