Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM

Abstract

This paper considers the distributed optimization of a sum of locally observable, nonconvex functions. The optimization is performed over a multiagent networked system, and each local function depends only on a subset of the variables. An asynchronous and distributed alternating directions method of multipliers (ADMM) method that allows the nodes to defer… (More)
DOI: 10.1109/TSIPN.2016.2593896

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05010015020162017
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Citation Velocity: 40

Averaging 40 citations per year over the last 2 years.

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Cite this paper

@article{Kumar2017AsynchronousOO, title={Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM}, author={Sandeep Kumar and Rahul Jain and Ketan Rajawat}, journal={IEEE Transactions on Signal and Information Processing over Networks}, year={2017}, volume={3}, pages={114-129} }