2026
FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
CVPR 2026
Federated Learning (FL) enables decentralized model training across multiple clients without exposing private data, making it ideal for privacy-sensitive applications. However, in real-world FL scenarios, clients often hold data from distinct domains, leading to severe domain shift and degraded glob