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News/IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
arxiv
PublishedJuly 14, 2026 at 4:00 AM

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

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Publisher summary· verbatim

arXiv:2606.02563v2 Announce Type: replace Abstract: Heterogeneous Differential Privacy (HDP) in Federated Learning (FL) allows clients to select individual privacy budgets ($\varepsilon_i$) according to institutional policies and data sensitivity. In practice, many HDP-FL systems employ $\varepsilon

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