Xiang-Hua Li

Gradient-Complementary Asynchronous Federated Learning for Multi-Task Anomaly Detection in Smart Grid

A gradient-complementary asynchronous federated learning framework, which explicitly models gradient complementarity as a distributed intelligence fusion mechanism for multi-task anomaly detection and validate the effectiveness of gradient complementarity as a general computational intelligence principle for distribute...