Convergence rate analysis of distributed optimization with projected subgradient algorithm
type: Item
instance of: scholarly article
title: Convergence rate analysis of distributed optimization with projected subgradient algorithm
zbMATH Open document ID: 1373.93023
author: Shuai Liu
author: Zhirong Qiu
author: Lihua Xie
published in: Automatica
publication date: 2017-11-08T00:00:00Z
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 6803933
zbMATH Keywords: distributed optimization
zbMATH Keywords: subgradients
zbMATH Keywords: convergence rate
zbMATH Keywords: multi-agent systems
describes a project that uses: DEXTRA
MaRDI profile type: Publication
full work available at URL: j.automatica.2017.06.011
OpenAlex ID: W2731574071
cites work: Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
cites work: Q2753173
cites work: Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers
cites work: Fast Distributed Gradient Methods
cites work: Distributed Optimization Over Time-Varying Directed Graphs
cites work: Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs
cites work: Distributed Subgradient Methods for Multi-Agent Optimization
cites work: Constrained Consensus and Optimization in Multi-Agent Networks
cites work: Adaptation, Learning, and Optimization over Networks
cites work: EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
cites work: Newton-Raphson Consensus for Distributed Convex Optimization
cites work: DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs
cites work: On Distributed Convex Optimization Under Inequality and Equality Constraints
DOI: 10.1016/J.AUTOMATICA.2017.06.011
Recommended article: Distributed stochastic subgradient projection algorithms for convex optimization
Recommended article: Almost sure convergence of random projected proximal and subgradient algorithms for distributed nonsmooth convex optimization
Recommended article: On convergence rate of distributed stochastic gradient algorithm for convex optimization with inequality constraints
Recommended article: Q5142938
Recommended article: On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks
Recommended article: On the convergence of the conditional gradient method in distributed optimization problems
Recommended article: Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization
Recommended article: Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Recommended article: Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers
Recommended article: Continuous-Time Distributed Subgradient Algorithm for Convex Optimization With General Constraints
description: scientific article; zbMATH DE number 6803933