May 21, 2020 · We propose a simple statistical estimation model for the stochastic gradients which captures the sparsity and skewness of their distribution.
We propose a simple statistical estimation model for the stochastic gradients which captures the sparsity and skewness of their distribution. The statistically ...
A simple statistical estimation model is proposed for the stochastic gradients which captures the sparsity and skewness of their distribution and leads to a ...
rTop-k [3] proposes to first find the top r magnitude coordinates of a vector and then randomly sample k out of these r coordinates. Note that rTop-k is still a ...
Nov 1, 2020 · In this study, we build a global data set of amplitude measurements of S, SS, SSS and SSSS waves using earthquakes that occurred between 2009 ...
rTop-k: A Statistical Estimation Approach to Distributed SGD · no code implementations • 21 May 2020 • Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik ...
rTop-k: A Statistical Estimation Approach to Distributed SGD ... The large communication cost for exchanging gradients between different nodes significantly ...
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rTop-k: A Statistical Estimation Approach to Distributed SGD. LP Barnes, HA Inan, B Isik, A Özgür. IEEE Journal on Selected Areas in Information Theory 1 (3) ...
Oct 12, 2024 · rTop-k: A Statistical Estimation Approach to Distributed SGD. IEEE J. Sel. Areas Inf. Theory 1(3): 897-907 (2020). [c7]. view. electronic ...
rTop-k: A Statistical Estimation Approach to Distributed SGD. B Isik*, LP Barnes*, HA Inan*, A Özgür. IEEE Journal on Selected Areas in Information Theory 1 (3) ...