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RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense
RecUP-FL protects user-specified sensitive attributes in federated gradients via adversarial perturbations and meta-learned model zoos, significantly improving model utility over conventional defenses.
Published Jul 5, 2023 · 4 citations
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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5