Distributed optimization via diffusion adaptation

We develop an iterative diffusion mechanism to optimize a global cost function in a distributed manner over a network of nodes. The cost function is assumed to consist of a collection of individual components, and diffusion strategy allows the nodes to cooperate and diffuse information in real-time. Compared to incremental methods, diffusion methods do not require the use of a cyclic path over the nodes and are more robust to node and link failure.


Published in:
2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 281-284
Presented at:
4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), San Juan, PR, USA, December 13-16, 2011
Year:
2011
Publisher:
IEEE
Laboratories:




 Record created 2017-12-19, last modified 2018-09-13


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