Distributed Mean Estimation with Limited Communication

Motivated by the need for distributed learning and optimization algorithms with low communication cost, we study communication efficient algorithms for distributed mean estimation. Unlike previous works, we make no probabilistic assumptions on the data. We first show that for $d$ dimensional data wi...

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Hauptverfasser: Suresh, Ananda Theertha, Yu, Felix X, Kumar, Sanjiv, McMahan, H. Brendan
Format: Artikel
Sprache:eng
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