A multi-objective federated learning framework : toward efficient and adaptive energy management in smart buildings

Federated Learning (FL) has emerged as a transformative paradigm in machine learning, enabling decentralized and privacy-preserving collaborative training across distributed clients. Unlike conventional centralized approaches that require transferring raw data to a central server, FL allows clients