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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
ArXivPDFHTML

Papers citing "FedCon: A Contrastive Framework for Federated Semi-Supervised Learning"

11 / 11 papers shown
Title
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
Yifan Zeng
29
0
0
10 May 2025
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
(FL)2^22: Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
36
1
0
30 Oct 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning
  without Labels
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
Christopher G. Brinton
FedML
32
2
0
15 Apr 2024
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label
  Contrastive Loss for Unlabeled Clients
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
Xinchi Qiu
Yan Gao
Lorenzo Sani
Heng Pan
Wanru Zhao
Pedro Gusmão
Mina Alibeigi
Alexandru Iacob
Nicholas D. Lane
FedML
55
3
0
15 Feb 2024
Contrastive encoder pre-training-based clustered federated learning for
  heterogeneous data
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun
Minh N. H. Nguyen
Chu Myaet Thwal
J. Choi
Choong Seon Hong
FedML
24
13
0
28 Nov 2023
MrTF: Model Refinery for Transductive Federated Learning
MrTF: Model Refinery for Transductive Federated Learning
Xin-Chun Li
Yang Yang
De-Chuan Zhan
30
3
0
07 May 2023
When does the student surpass the teacher? Federated Semi-supervised
  Learning with Teacher-Student EMA
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA
Jessica Zhao
Sayan Ghosh
Akash Bharadwaj
Chih-Yao Ma
FedML
22
6
0
24 Jan 2023
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
23
8
0
05 May 2022
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
13
39
0
14 Mar 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
31
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
199
243
0
14 Jun 2018
1