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20162023
most citedA Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

33 citations · 113 across the 20 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

math.OC2019★ 5 cited

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning

Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis

We provide a discussion of several recent results which, in certain scenarios, are able to overcome a barrier in distributed stochastic optimization for machine learning. Our focus…

math.OC2019★ 33 cited

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis

This paper is concerned with minimizing the average of cost functions over a network in which agents may communicate and exchange information with each other. We consider the s…