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Gaussian Approximation for Composition and Subsampling of Differentially Private Algorithms

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.33333v1 Announce Type: new Abstract: The privacy analysis of differentially private stochastic gradient descent (DP-SGD) relies on bounds for the composition of subsampled mechanisms. The privacy of such a composition is bounded by that of a pair of product distributions, whose privacy l…

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  1. 2026-10-27 04:00 · arXiv cs.LG
    Gaussian Approximation for Composition and Subsampling of Differentially Private Algorithms

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