Projected subgradient based distributed convex optimization with transmission noises
type: Item
instance of: scholarly article
title: Projected subgradient based distributed convex optimization with transmission noises
author: Li Zhang
author: Shuai Liu
published in: Applied Mathematics and Computation
publication date: 2022-01-27T00:00:00Z
Mathematics Subject Classification ID: 90Cxx
Mathematics Subject Classification ID: 93Axx
Mathematics Subject Classification ID: 93Exx
zbMATH DE Number: 7465258
zbMATH Keywords: distributed convex optimization
zbMATH Keywords: projected subgradient algorithm
zbMATH Keywords: additive noise
zbMATH Keywords: polyhedric set constraint
zbMATH Keywords: random inner space
describes a project that uses: DEXTRA
MaRDI profile type: Publication
full work available at URL: j.amc.2021.126794
OpenAlex ID: W3216242265
cites work: Distributed Coupled Multiagent Stochastic Optimization
cites work: Distributed approximate Newton algorithms and weight design for constrained optimization
cites work: Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization
cites work: Q4489016
cites work: How to differentiate the projection on a convex set in Hilbert space. Some applications to variational inequalities
cites work: A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
cites work: Revisiting EXTRA for Smooth Distributed Optimization
cites work: Distributed Averaging With Random Network Graphs and Noises
cites work: Exponential convergence of distributed primal-dual convex optimization algorithm without strong convexity
cites work: Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes
cites work: Q4038210
cites work: Convergence rate analysis of distributed optimization with projected subgradient algorithm
cites work: Primal-dual stochastic distributed algorithm for constrained convex optimization
cites work: Distributed Big-Data Optimization via Blockwise Gradient Tracking
cites work: Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
cites work: Distributed constrained optimal consensus of multi-agent systems
cites work: Accelerated Distributed Nesterov Gradient Descent
cites work: Distributed stochastic gradient tracking methods
cites work: Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks
cites work: DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs
cites work: On convergence rate of distributed stochastic gradient algorithm for convex optimization with inequality constraints
cites work: On the convergence of decentralized gradient descent
cites work: Exact Diffusion for Distributed Optimization and Learning—Part II: Convergence Analysis
cites work: Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises
cites work: Consensus Conditions of Continuous-Time Multi-Agent Systems with Additive and Multiplicative Measurement Noises
DOI: 10.1016/J.AMC.2021.126794
description: scientific article; zbMATH DE number 7465258