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Published in 2019 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2019.2920342
Abstract: We propose a separation principle that enables a systematic way of designing decentralized algorithms used in consensus optimization. Specifically, we show that a decentralized optimization algorithm can be constructed by combining a non-decentralized base optimization…
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Keywords:
optimization;
consensus;
consensus optimization;
decentralized algorithms ... See more keywords
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Published in 2017 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2017.2681119
Abstract: This paper considers solving a class of optimization problems which are modeled as the sum of all agents' convex cost functions and each agent is only accessible to its individual function. Communication between agents in…
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Keywords:
agent;
information;
communication;
consensus optimization ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2896266
Abstract: Alternating direction method of multipliers (ADMM) is a popular convex optimization algorithm, which can be employed for solving distributed consensus optimization problems. In this setting, agents locally estimate the optimal solution of an optimization problem…
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Keywords:
consensus optimization;
node error;
optimization;
distributed admm ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2907258
Abstract: In this paper, we devise a communication-efficient decentralized algorithm, named as communication-censored alternating direction method of multipliers (ADMM) (COCA), to solve a convex consensus optimization problem defined over a network. Similar to popular decentralized consensus…
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Keywords:
optimization;
coca;
communication;
consensus optimization ... See more keywords