Web: http://arxiv.org/abs/2209.07230

Sept. 16, 2022, 1:13 a.m. | Chen Amiraz, Robert Krauthgamer, Boaz Nadler

stat.ML updates on arXiv.org arxiv.org

We study the problem of high-dimensional sparse linear regression in a
distributed setting under both computational and communication constraints.
Specifically, we consider a star topology network whereby several machines are
connected to a fusion center, with whom they can exchange relatively short
messages. Each machine holds noisy samples from a linear regression model with
the same unknown sparse $d$-dimensional vector of regression coefficients
$\theta$. The goal of the fusion center is to estimate the vector $\theta$ and
its support using …

arxiv communication distributed linear linear regression regression

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