Md. Palash Uddin

Communication-Efficient Federated Learning via Fractional-Order Gradient Descent With Adaptive Momentum Under Non-IID Data

Federated learning (FL) enables collaborative model training without centralized data sharing, yet its practical deployment is often hindered by slow convergence and excessive communication overhead, particularly under non-Independent and non-Identically Distributed (non-IID) data distributions. To address these challe...