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Multi-cluster distributed optimization via random sleep strategy (Q2423910)

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English	Multi-cluster distributed optimization via random sleep strategy	scientific article

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scholarly article

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Multi-cluster distributed optimization via random sleep strategy (English)

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Guang-Hong Yang

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Journal of the Franklin Institute

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publication date

21 June 2019

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zbMATH Keywords

distributed optimization

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random sleep

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Bernoulli decision

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.jfranklin.2019.03.021

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Communication-computation tradeoff in distributed consensus optimization for MPC-based coordinated control under wireless communications

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Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models

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Adaptive Fault Tolerant Control of Cooperative Heterogeneous Systems With Actuator Faults and Unreliable Interconnections

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Blind Channel and Source Estimation in Networked Systems

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Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems

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Augmented Lagrange algorithms for distributed optimization over multi-agent networks via edge-based method

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Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication

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Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach

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Distributed Subgradient Methods for Multi-Agent Optimization

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Constrained Consensus and Optimization in Multi-Agent Networks

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Asynchronous Broadcast-Based Convex Optimization Over a Network

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Asynchronous Gossip-Based Random Projection Algorithms Over Networks

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Distributed Optimization Over Time-Varying Directed Graphs

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Distributed Subgradient Projection Algorithm Over Directed Graphs

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Distributed multi-agent optimization subject to nonidentical constraints and communication delays

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Convergence rate analysis of distributed optimization with projected subgradient algorithm

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Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling

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Fast Distributed Gradient Methods

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Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers

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EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization

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DSA: Decentralized Double Stochastic Averaging Gradient Algorithm

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A distributed hierarchical algorithm for multi-cluster constrained optimization

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Hierarchical constrained consensus algorithm over multi-cluster networks

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Randomized optimal consensus of multi-agent systems

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Convergence of random sleep algorithms for optimal consensus

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Stochastic sub-gradient algorithm for distributed optimization with random sleep scheme

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Distributed Nash Equilibrium Seeking by a Consensus Based Approach

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Distributed Nash equilibrium seeking for aggregative games with coupled constraints

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Distributed Algorithms for Aggregative Games on Graphs

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Distributed Nash equilibrium seeking: a gossip-based algorithm

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A Convergent Incremental Gradient Method with a Constant Step Size

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Incremental Stochastic Subgradient Algorithms for Convex Optimization

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Nash equilibrium seeking for \(N\)-coalition noncooperative games

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Distributed convergence to Nash equilibria in two-network zero-sum games

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Nash Equilibrium Computation in Subnetwork Zero-Sum Games With Switching Communications

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.JFRANKLIN.2019.03.021

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Sitelinks

Mathematics(1 entry)

mardi Publication:2423910

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