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…