Markus List

Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments

2020 · arXiv (Cornell University)

Federated learning has faced performance and network communication challenges, especially in the environments where the data is not independent and identically distributed (IID) across the clients. To address the former challenge, we introduce the federated-centralized …