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Yann Issartel

2 accepted papers

2021

Locally differentially private estimation of functionals of discrete distributions

NeurIPS 2021poster

We study the problem of estimating non-linear functionals of discrete distributions in the context of local differential privacy. The initial data $x_1,\ldots,x_n \in[K]$ are supposed i.i.d. and distributed according to an unknown discrete distribution $p = (p_1,\ldots,p_K)$. Only $\alpha$-locally…

Cited by 17SourcePDFScholar