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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"

11 / 11 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
159
1
0
25 Jul 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
Xuefeng Liu
Xinghao Wu
Shaojie Tang
Chao Tang
Jianwei Niu
Hao Su
FedML
95
1
0
30 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
60
12
0
10 May 2024
Bold but Cautious: Unlocking the Potential of Personalized Federated
  Learning through Cautiously Aggressive Collaboration
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
FedML
60
19
0
20 Sep 2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous
  Clients
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
Chen Wu
Zexi Li
Fang Wang
Chao Wu
FedML
23
14
0
06 Apr 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
73
75
0
23 Mar 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
251
802
0
15 Feb 2021
Inverting Gradients -- How easy is it to break privacy in federated
  learning?
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping
Hartmut Bauermeister
Hannah Dröge
Michael Moeller
FedML
72
1,217
0
31 Mar 2020
Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
FedML
94
556
0
06 Jan 2020
Federated Learning with Personalization Layers
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
67
826
0
02 Dec 2019
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
108
1,128
0
13 Sep 2019
1