2026
Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
ICLR 2026poster
Federated Learning (FL) is a privacy-preserving machine learning framework facilitating collaborative training across distributed clients. However, its performance is often compromised by data heterogeneity among participants, which can result in local models with limited generalization capability.…