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Federated Self-supervised Learning for Heterogeneous Clients

Federated Self-supervised Learning for Heterogeneous Clients

25 May 2022
Disha Makhija
Nhat Ho
Joydeep Ghosh
    FedML
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Papers citing "Federated Self-supervised Learning for Heterogeneous Clients"

5 / 5 papers shown
Title
A deep cut into Split Federated Self-supervised Learning
A deep cut into Split Federated Self-supervised Learning
Marcin Przewiȩźlikowski
Marcin Osial
Bartosz Zieliñski
Marek 'Smieja
FedML
30
0
0
12 Jun 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
FedML
27
2
0
22 Jan 2024
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
90
36
0
06 Oct 2021
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
147
287
0
01 May 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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