Relaxed Contrastive Learning for Federated Learning

Seonguk Seo, Jinkyu Kim, Geeho Kim +1

We propose a novel contrastive learning framework to effectively address the challenges of data heterogeneity in federated learning. We first analyze the inconsistency of gradient…