A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning
arXiv:2605.03499v1 Announce Type: cross
Abstract: We study expected generalization bounds for the Hierarchical Federated Learning (HFL) setup using Wasserstein distance. We introduce a generalized framework in which data is sampled hierarchically, and…