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20212026
most citedAdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning

14 citations · 49 across the 26 of their papers we have counts for

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math.ST2022

Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric

Saiteja Utpala, Praneeth Vepakomma, Nina Miolane

Differential privacy has become crucial in the real-world deployment of statistical and machine learning algorithms with rigorous privacy guarantees. The earliest statistical queri…

math.ST2022★ 1 cited

Private independence testing across two parties

Praneeth Vepakomma, Mohammad Mohammadi Amiri, Clément L. Canonne +2

We introduce -test, a privacy-preserving algorithm for testing statistical independence between data distributed across multiple parties. Our algorithm relies on privately estim…