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Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning

Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning

31 December 2024
Sijia Chen
Ningxin Su
Baochun Li
    FedML
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Papers citing "Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning"

3 / 3 papers shown
Title
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
153
459
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
1