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conference paper
Performance of diffusion adaptation for collaborative optimization
2012
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
We derive an adaptive diffusion mechanism to optimize global cost functions in a distributed manner over a network of nodes. The cost function is assumed to consist of the sum of individual components, and diffusion adaptation is used to enable the nodes to cooperate locally through in-network processing in order to solve the desired optimization problem. We analyze the mean-square-error performance of the algorithm, including its transient and steady-state behavior. We illustrate one application in the context of least-mean-squares estimation for sparse vectors.
Type
conference paper
Authors
Publication date
2012
Publisher
Published in
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Start page
3753
End page
3756
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Kyoto, Japan | March 25-30, 2012 | |
Available on Infoscience
December 19, 2017
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