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GitFL: Adaptive Asynchronous Federated Learning using Version Control

GitFL: Adaptive Asynchronous Federated Learning using Version Control

22 November 2022
Ming Hu
Zeke Xia
Zhihao Yue
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
    FedML
ArXivPDFHTML

Papers citing "GitFL: Adaptive Asynchronous Federated Learning using Version Control"

5 / 5 papers shown
Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
130
0
0
08 May 2025
AdaptiveFL: Adaptive Heterogeneous Federated Learning for
  Resource-Constrained AIoT Systems
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
Chentao Jia
Ming Hu
Zekai Chen
Yanxin Yang
Xiaofei Xie
Yang Liu
Mingsong Chen
19
6
0
22 Nov 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free
  Trigger Generation
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Yanxin Yang
Ming Hu
Yue Cao
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
26
6
0
22 Aug 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model
  Recombination
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
Ming Hu
Zhihao Yue
Zhiwei Ling
Cheng Chen
Yihao Huang
Xian Wei
Xiang Lian
Yang Liu
Mingsong Chen
FedML
19
8
0
18 May 2023
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
93
241
0
09 Sep 2021
1