Convergence rate of incremental aggregated gradient algorithms

Abstract

Motivated by applications to distributed asynchronous optimization and large-scale data processing, we analyze the incremental aggregated gradient method for minimizing a sum of strongly convex functions from a novel perspective, simplifying the global convergence proofs considerably and proving a linear rate result. We also consider an aggregated method… (More)

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