Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. - Mengchen Fan; Baocheng Geng; Keren Li; Xueqian Wang 001; Pramod K. Varshney (FUSION, 2024)

Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. - Mengchen Fan; Baocheng Geng; Keren Li; Xueqian Wang 002; Pramod K. Varshney (CoRR, 2024)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)

Measuring Heterogeneity in Machine Learning with Distributed Energy Distance. - Mengchen Fan; Baocheng Geng; Roman Shterenberg; Joseph A. Casey; Zhong Chen; Keren Li (CoRR, 2025)

PFedDST: Personalized Federated Learning with Decentralized Selection Training. - Mengchen Fan; Keren Li; Tianyun Zhang; Qing Tian; Baocheng Geng (CoRR, 2025)