A proximal center-based decomposition method for multi-agent convex optimization

2008 47th IEEE Conference on Decision and Control ◽

10.1109/cdc.2008.4738764 ◽

2008 ◽

Author(s):

Ion Necoara ◽

Johan A.K. Suykens

Keyword(s):

Convex Optimization ◽

Decomposition Method ◽

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On Local Computation for Network-Structured Convex Optimization in Multi-Agent Systems

IEEE Transactions on Control of Network Systems ◽

10.1109/tcns.2021.3050129 ◽

2021 ◽

pp. 1-1

Author(s):

Robin Brown ◽

Federico Rossi ◽

Kiril Solovey ◽

Matthew Tsao ◽

Michael T. Wolf ◽

...

Keyword(s):

Convex Optimization ◽

Multi Agent Systems ◽

Local Computation ◽

Agent Systems ◽

Structured Convex Optimization ◽

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Multi-agent reinforcement learning for convex optimization

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III ◽

10.1117/12.2585624 ◽

2021 ◽

Author(s):

Amir Morcos ◽

Aaron West ◽

Brian Maguire

Keyword(s):

Reinforcement Learning ◽

Convex Optimization ◽

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Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications

2015 54th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2015.7402236 ◽

2015 ◽

Author(s):

Ruggero Carli ◽

Giuseppe Notarstefano ◽

Luca Schenato ◽

Damiano Varagnolo

Keyword(s):

Convex Optimization ◽

Multi Agent ◽

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An approximate dual subgradient algorithm for multi-agent non-convex optimization

49th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2010.5717220 ◽

2010 ◽

Author(s):

Minghui Zhu ◽

Sonia Martinez

Keyword(s):

Convex Optimization ◽

Multi Agent ◽

Subgradient Algorithm

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On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7799197 ◽

2016 ◽

Author(s):

Luca Deori ◽

Kostas Margellos ◽

Maria Prandini

Keyword(s):

Convex Optimization ◽

Electric Vehicles ◽

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Random Coordinate Descent Algorithms for Multi-Agent Convex Optimization Over Networks

IEEE Transactions on Automatic Control ◽

10.1109/tac.2013.2250071 ◽

2013 ◽

Vol 58 (8) ◽

pp. 2001-2012 ◽

Author(s):

Ion Necoara

Keyword(s):

Convex Optimization ◽

Coordinate Descent ◽

Descent Algorithms ◽

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Distributed Subgradient Algorithm for Multi-Agent Convex Optimization with Global Inequality and Equality Constraints

Applied and Computational Mathematics ◽

10.11648/j.acm.20160505.15 ◽

2016 ◽

Vol 5 (5) ◽

pp. 213 ◽

Author(s):

Li Xiao

Keyword(s):

Convex Optimization ◽

Equality Constraints ◽

Global Inequality ◽

Multi Agent ◽

Subgradient Algorithm

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Asynchronous Algorithm for Distributed Multi-agent Convex Optimization

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189317 ◽

2020 ◽

Author(s):

Duqiao Zhao ◽

Ding Liu ◽

Xia Zhang

Keyword(s):

Convex Optimization ◽

Asynchronous Algorithm ◽

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Quantizer-based distributed mirror descent for multi-agent convex optimization

10.1109/ccdc52312.2021.9602370 ◽

2021 ◽

Author(s):

Menghui Xiong ◽

Baoyong Zhang ◽

Deming Yuan

Keyword(s):

Convex Optimization ◽

Mirror Descent ◽

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On the Parallel Proximal Decomposition Method for Solving the Problems of Convex Optimization

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v42.i4.20 ◽

2010 ◽

Vol 42 (4) ◽

pp. 13-18 ◽

Author(s):

Vladimir V. Semenov

Keyword(s):

Convex Optimization ◽

Decomposition Method

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