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FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

9 September 2021
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
    FedML
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Papers citing "FedCon: A Contrastive Framework for Federated Semi-Supervised Learning"

3 / 3 papers shown
Title
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
11
8
0
05 May 2022
Improving Semi-supervised Federated Learning by Reducing the Gradient
  Diversity of Models
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models
Zhengming Zhang
Yaoqing Yang
Z. Yao
Yujun Yan
Joseph E. Gonzalez
Michael W. Mahoney
FedML
23
36
0
26 Aug 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
178
243
0
14 Jun 2018
1