Network Newton Distributed Optimization Methods

DOI10.1109/TSP.2016.2617829zbMath1414.90080OpenAlexW2537046506MaRDI QIDQ4620519

Aryan Mokhtari, Qing Ling, Alejandro Ribeiro

Publication date: 8 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2016.2617829

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Communication networks in operations research (90B18)

Related Items (12)

Distributed adaptive Newton methods with global superlinear convergence ⋮ A distributed methodology for approximate uniform global minimum sharing ⋮ Distributed and communication-efficient solutions to linear equations with special sparse structure ⋮ Distributed constrained optimization for multi-agent systems over a directed graph with piecewise stepsize ⋮ Decentralized ADMM with compressed and event-triggered communication ⋮ A decentralized smoothing quadratic regularization algorithm for composite consensus optimization with non-Lipschitz singularities ⋮ Network-decentralised optimisation and control: an explicit saturated solution ⋮ Distributed approximate Newton algorithms and weight design for constrained optimization ⋮ Exact spectral-like gradient method for distributed optimization ⋮ Partition-based multi-agent optimization in the presence of lossy and asynchronous communication ⋮ Distributed stochastic subgradient projection algorithms based on weight-balancing over time-varying directed graphs ⋮ Distributed Newton methods for strictly convex consensus optimization problems in multi-agent networks

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