FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients

15 February 2024

Papers citing "FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients"

4 / 4 papers shown

Title
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding Yasar Abbas Ur Rehman Kin Wai Lau Yuyang Xie Ma Lan Jiajun Shen 29 0 0 13 Apr 2025
(FL) $^2$ : Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee Thanh-Long V. Le Jaemin Shin Sung-Ju Lee FedML 26 1 0 30 Oct 2024
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 40 22 0 09 Sep 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021