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Faster Learning under Relaxed Local Differential Privacy

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05034v1 Announce Type: cross Abstract: We consider density estimation under the relaxed local differential privacy condition that the privatized distributions are $\alpha$-close in total variation distance. We show that adding independent noise with a convenient symmetrized Gamma distrib…

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  1. 2026-09-07 04:00 · arXiv stat.ML
    Faster Learning under Relaxed Local Differential Privacy

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