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News/Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy

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arXiv:2610.21033v1 Announce Type: cross Abstract: We propose a general framework for non-interactive locally differentially private (LDP) learning of structured univariate distributions that can be approximated by piece-wise polynomials. This gives the first sample-efficient LDP learners for several

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