Parallel and Distributed algorithms for ML problems

In this paper we make a survey of modern parallel and distributed approaches to solve sum-type convex minimization problems come from ML applications.

Stochastic Gradient Optimization Techniques Complexity and Algorithms in Graphs Sparse and Compressive Sensing Techniques

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