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FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
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FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning

Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
ArXiv (abs)PDFHTML

Papers citing "FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning"

2 / 2 papers shown
Title
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
Hasan Kassem
Deepak Alapatt
Pietro Mascagni
AI4SafeChole Consortium
Alexandros Karargyris
N. Padoy
FedML
75
41
0
14 Mar 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Junyu Shi
Wei Wan
Shengshan Hu
Jianrong Lu
L. Zhang
AAML
95
86
0
29 Dec 2021

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