Tackling Non-IID for Federated Learning with Components Alignment. - Baolu Xue; Jiale Zhang 001; Bing Chen 002; Wenjuan Li 001 (ML4CS, 2023)

FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning. - Baolu Xue; Hanyuan Zheng; Jiale Zhang 001; Jiewen Liu; Bing Chen 002 (ICASSP, 2025)

FedPG: a privacy-friendly and universal method for solving non-IID data in federated learning. - Baolu Xue; Jiale Zhang 001; Bing Chen 002; Weizhi Meng 001 (Pattern Anal. Appl., 2025)