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  • title: Private and Communication-Efficient Algorithms for Entropy Estimation
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            Private and Communication-Efficient Algorithms for Entropy Estimation
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            Private and Communication-Efficient Algorithms for Entropy Estimation

            Nov 28, 2022

            Speakers

            GB

            Gecia Bravo-Hermsdorff

            Speaker · 0 followers

            RB

            Róbert Busa-Fekete

            Speaker · 0 followers

            MG

            Mohammad Ghavamzadeh

            Speaker · 2 followers

            About

            Modern statistical estimation is often performed in a distributed setting where each sample belongs to single user who shares their data with a central server. Users are typically concerned with preserving the privacy of their sample, and also with minimizing the amount of data they must transmit to the server. We give improved private and communication-efficient algorithms for estimating several popular measures of the entropy of a distribution. All of our algorithms have constant communication…

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            NeurIPS 2022

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