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We propose a new asynchronous parallel block-descent algorithmic framework for the minimization of the sum of a smooth nonconvex function and a nonsmooth convex one, subject to both convex and nonconvex constraints.
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Probability theory: a comprehensive course
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On the o (1= k) convergence of asynchronous distributed alternating direction method of multipliers
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Decomposition by partial linearization: Parallel optimization of multi-agent systems
G. Scutari, F. Facchinei, P. Song, D. P Palomar, and J.-S. Pang · 2014
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Nomad: Non-locking, stochastic multi-machine algorithm for asynchronous and decentralized matrix completion
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Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization
A. Daneshmand, F. Facchinei, V. Kungurtsev, and G. Scutari · 2015
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Parallel selective algorithms for nonconvex big data optimization
F. Facchinei, G. Scutari, and S. Sagratella · 2015
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Feasible methods for nonconvex nonsmooth problems with applications in green communications
F. Facchinei, L. Lampariello, and G. Scutari · 2016
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Asynchronous stochastic gradient descent with variance reduction for non-convex optimization
Z. Huo and H. Huang · 2016
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Perturbed iterate analysis for asynchronous stochastic optimization
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Arock: an algorithmic framework for asynchronous parallel coordinate updates
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Z. Peng, Y. Xu, M. Yan, and W. Yin · 2016
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Asynchronous stochastic coordinate descent: Parallelism and convergence properties
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Asynchronous parallel algorithms for nonconvex big-data optimization - part i: Model and convergence
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Parallel asynchronous lock-free algorithms for nonconvex big-data optimization
L. Cannelli, G. Scutari, F. Facchinei, and V. Kungurtsev · 2016
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The asynchronous palm algorithm for nonsmooth nonconvex problems
D. Davis · 2016
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Asynchronous parallel nonconvex large-scale optimization
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A distributed, asynchronous and incremental algorithm for nonconvex optimization: An admm approach
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Breaking the nonsmooth barrier: A scalable parallel method for composite optimization
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Parallel and distributed methods for constrained nonconvex optimization-part i: Theory
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Parallel and distributed methods for constrained nonconvex optimization–part ii: Applications in communications and machine learning
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