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cs.LG2025
PFedDST: Personalized Federated Learning with Decentralized Selection Training
Mengchen Fan, Keren Li, Tianyun Zhang +2
Distributed Learning (DL) enables the training of machine learning models across multiple devices, yet it faces challenges like non-IID data distributions and device capability dis…
stat.ML2025
Measuring Heterogeneity in Machine Learning with Distributed Energy Distance
Mengchen Fan, Baocheng Geng, Roman Shterenberg +3
In distributed and federated learning, heterogeneity across data sources remains a major obstacle to effective model aggregation and convergence. We focus on feature heterogeneity…