A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

Haizhou Liu, Xuan Zhang, Xinwei Shen +1

In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…