Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Tian-Shuang, Lyu, Shen-Huan, Chen, Ning, He, Yi-Xiao, Tang, Bing, Ye, Baoliu, Zhang, Qingfu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2603.03007