Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...

Abstract: Energy sharing can activate prosumer flexibility to support power system operations. However, in practice, communication delays are inevitable and seriously threaten the real-time energy ...