AI RESEARCH
A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning
arXiv CS.LG
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ArXi:2605.03499v1 Announce Type: new We study expected generalization bounds for the Hierarchical Federated Learning (HFL) setup using Wasserstein distance. We