89 citations · 118 across the 9 of their papers we have counts for
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math.OC2016
Data Dependent Convergence for Distributed Stochastic Optimization
Avleen S. Bijral
In this dissertation we propose alternative analysis of distributed stochastic gradient descent (SGD) algorithms that rely on spectral properties of the data covariance. As a conse…
math.OC2016★ 8 cited
On Data Dependence in Distributed Stochastic Optimization
Avleen S. Bijral, Anand D. Sarwate, Nathan Srebro
We study a distributed consensus-based stochastic gradient descent (SGD) algorithm and show that the rate of convergence involves the spectral properties of two matrices: the stand…