Jian-hui Duan

Federated Learning With Data-Agnostic Distribution Fusion

Federated learning has emerged as a promising distributed machine learning paradigm to preserve data privacy. One of the fundamental challenges of federated learning is that data samples across clients are usually not independent and identically distributed (non-IID), leading to slow convergence and…