FedLucra: Federated Learning With Loss‐Utility Controlled Robust Aggregation
Federated learning enables collaborative model training without centralizing private data. However, conventional aggregation strategies generally determine client contributions primarily according to local data volume and do not directly consider differences in local model performance. To address this limitation, we pr...