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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

28 June 2024
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Haolin Wang
Shaojie Tang
Guogang Zhu
Hao Su
    FedML
ArXivPDFHTML

Papers citing "Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition"

4 / 4 papers shown
Title
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
45
1
0
25 Jul 2024
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Daoyuan Chen
Fandong Meng
Dawei Gao
Bolin Ding
Yaliang Li
FedML
96
47
0
04 May 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang
Li Shen
Yan Sun
Weiwei Lin
Dacheng Tao
FedML
40
12
0
21 Feb 2023
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
784
0
15 Feb 2021
1