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