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arXiv · 1412.7215

Online Distributed Optimization on Dynamic Networks

Saghar Hosseini·Airlie Chapman·Mehran Mesbahi
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Abstract

This paper presents a distributed optimization scheme over a network of agents in the presence of cost uncertainties and over switching communication topologies. Inspired by recent advances in distributed convex optimization, we propose a distributed algorithm based on a dual sub-gradient averaging. The objective of this algorithm is to minimize a cost function cooperatively. Furthermore, the algorithm changes the weights on the communication links in the network to adapt to varying reliability of neighboring agents. A convergence rate analysis as a function of the underlying network topology is then presented, followed by simulation results for representative classes of sensor networks.

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Saghar Hosseini, Airlie Chapman, Mehran Mesbahi. 2014-12-22. Online Distributed Optimization on Dynamic Networks. https://doi.org/10.1109/tac.2016.2525928

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