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Sagan

Paper

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD

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AI summary

arXiv:2605. 26222v1 Announce Type: new Abstract: Understanding the relationship between generalization and privacy remains a central challenge in modern machine learning theory, particularly for deep networks trained by variants of differentially private stochastic gradient descent (DP-SGD).