Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection

Qinjun Fei, Nuria Rodríguez-Barroso, María Victoria Luzón +2

In cross-silo Federated Learning (FL), client selection is critical to ensure high model performance, yet it remains challenging due to data quality decompensation, budget constrai…