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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3240652
Abstract: In this work, we investigate stochastic quasi-Newton methods for minimizing a finite sum of cost functions over a decentralized network. We first develop a general algorithmic framework, in which each node constructs a local, inexact…
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Keywords:
quasi newton;
stochastic quasi;
variance reduced;
newton methods ... See more keywords
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Published in 2021 at "Journal of Industrial and Management Optimization"
DOI: 10.3934/jimo.2021084
Abstract: We study the problem of minimizing the sum of two functions. The first function is the average of a large number of nonconvex component functions and the second function is a convex (possibly nonsmooth) function…
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Keywords:
stochastic variance;
variance reduced;
proximal stochastic;
variable metric ... See more keywords