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News/Theoretically Principled Federated Learning for Balancing Privacy and Utility
arxiv
PublishedAugust 27, 2026 at 4:00 AM

Theoretically Principled Federated Learning for Balancing Privacy and Utility

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arXiv:2305.15148v3 Announce Type: replace Abstract: We propose a general learning framework for the protection mechanisms that protects privacy via distorting model parameters, which facilitates the trade-off between privacy and utility. The algorithm is applicable to arbitrary privacy measurements

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