2025
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
ICCV 2025poster
Federated learning (FL) enables collaborative training of a global model in the centralized server with data from multiple parties while preserving privacy. However, data heterogeneity can significantly degrade the performance of the global model when each party uses datasets from different sources…