37 citations · 74 across the 12 of their papers we have counts for
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stat.ML2018
cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal, Ananda Theertha Suresh, Felix Yu +2
Distributed stochastic gradient descent is an important subroutine in distributed learning. A setting of particular interest is when the clients are mobile devices, where two impor…
stat.ML2017★ 6 cited
Leverage Score Sampling for Faster Accelerated Regression and ERM
Naman Agarwal, Sham Kakade, Rahul Kidambi +3
Given a matrix and a vector , we show how to compute an -approximate solution to the regression problem $ \min_{x\in\m…