Distributed stochastic subgradient projection algorithms based on weight-balancing over time-varying directed graphs

DOI10.1155/2019/8030792zbMath1429.90048OpenAlexW2969350121MaRDI QIDQ2331322

Ping Xie, Ruijuan Zheng, Junlong Zhu, Ling Xing, Mingchuan Zhang, Qingtao Wu

Publication date: 29 October 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/8030792

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Abstract computational complexity for mathematical programming problems (90C60) Stochastic programming (90C15)

Related Items (1)

A distributed conjugate gradient online learning method over networks

Uses Software

• ElemStatLearn

Cites Work

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• Distributed stochastic subgradient projection algorithms for convex optimization
• Distributed multi-agent optimization with state-dependent communication
• Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs
• Distributed Optimization Over Time-Varying Directed Graphs
• Regression Methods for Stochastic Control Problems and Their Convergence Analysis
• An Adaptive Projected Subgradient Approach to Learning in Diffusion Networks
• Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures
• Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
• Distributed Subgradient Projection Algorithm Over Directed Graphs
• Consensus and Cooperation in Networked Multi-Agent Systems
• Network Newton Distributed Optimization Methods
• Harnessing Smoothness to Accelerate Distributed Optimization
• Distributed Subgradient Methods for Multi-Agent Optimization
• Constrained Consensus and Optimization in Multi-Agent Networks
• EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
• Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
• Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization
• An <formula formulatype="inline"><tex Notation="TeX">$O(1/k)$</tex> </formula> Gradient Method for Network Resource Allocation Problems
• The elements of statistical learning. Data mining, inference, and prediction

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