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FedSiam: Towards Adaptive Federated Semi-Supervised Learning

FedSiam: Towards Adaptive Federated Semi-Supervised Learning

6 December 2020
Zewei Long
Liwei Che
Yaqing Wang
Muchao Ye
Junyu Luo
Jinze Wu
Houping Xiao
Fenglong Ma
    FedML
ArXivPDFHTML

Papers citing "FedSiam: Towards Adaptive Federated Semi-Supervised Learning"

4 / 4 papers shown
Title
Efficient Semi-Supervised Federated Learning for Heterogeneous
  Participants
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Zhipeng Sun
Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
17
0
0
29 Jul 2023
Multimodal Federated Learning on IoT Data
Multimodal Federated Learning on IoT Data
Yuchen Zhao
Payam Barnaghi
Hamed Haddadi
11
74
0
10 Sep 2021
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
199
243
0
14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1