351 citations · 1.2k across the 14 of their papers we have counts for
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Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization
Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev +1
We propose a decomposition framework for the parallel optimization of the sum of a differentiable {(possibly nonconvex)} function and a nonsmooth (possibly nonseparable), convex on…
Parallel Selective Algorithms for Big Data Optimization
Francisco Facchinei, Gesualdo Scutari, Simone Sagratella
We propose a decomposition framework for the parallel optimization of the sum of a differentiable (possibly nonconvex) function and a (block) separable nonsmooth, convex one. The l…
Flexible Parallel Algorithms for Big Data Optimization
Francisco Facchinei, Simone Sagratella, Gesualdo Scutari
We propose a decomposition framework for the parallel optimization of the sum of a differentiable function and a (block) separable nonsmooth, convex one. The latter term is typical…