Feng-Tsun Chien

Coalitional Game-Based Clustered Federated Learning for Mitigating Data Heterogeneity in Wireless Networks

Federated Learning (FL) has emerged as a promising paradigm for privacy-preserving distributed machine learning across mobile and edge devices. Nevertheless, the presence of non-independent and identically distributed (non-IID) data in wireless networks often leads to severe gradient divergence, slow convergence, and d...