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Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

22 August 2024
Shuang Zeng
Pengxin Guo
Shuai Wang
Jianbo Wang
Yuyin Zhou
Liangqiong Qu
    FedML
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Papers citing "Tackling Data Heterogeneity in Federated Learning via Loss Decomposition"

2 / 2 papers shown
Title
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
36
8
0
02 Oct 2024
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
70
86
0
17 May 2022
1