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The Diversity Bonus: Learning from Dissimilar Distributed Clients in
  Personalized Federated Learning

The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning

22 July 2024
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
Xiaotian Li
Jiannong Cao
    FedML
ArXiv (abs)PDFHTML

Papers citing "The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning"

3 / 3 papers shown
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Xinghao Wu
Jianwei Niu
Xuefeng Liu
Guogang Zhu
Jiayuan Zhang
Shaojie Tang
226
0
0
16 Mar 2025
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
520
4
0
25 Jul 2024
Decoupling General and Personalized Knowledge in Federated Learning via
  Additive and Low-Rank Decomposition
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Haolin Wang
Shaojie Tang
Guogang Zhu
Hao Su
FedML
187
17
0
28 Jun 2024
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