As machine learning (ML) rapidly advances across diverse domains, including intelligent healthcare and smart transportation systems, significant achievements have been made, including neural ...

Federated Learning (FL) enables collaborative model training without centralized data sharing; however, its efficiency often degrades under system and statistical heterogeneity across clients.