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conference paper
Distributed pareto-optimal solutions via diffusion adaptation
2012
IEEE Statistical Signal Processing Workshop (SSP)
We consider solving multi-objective optimization problems in a distributed manner over a network of nodes. The problem is equivalent to optimizing a global cost that is the sum of individual components. Diffusion adaptation enables the nodes to cooperate locally through in-network processing in order to approach Pareto-optimality. We analyze the mean-square-error performance of the diffusion strategy and show that, at steady-state, all nodes can be made to approach a Pareto-optimal solution.
Type
conference paper
Authors
Publication date
2012
Publisher
Published in
IEEE Statistical Signal Processing Workshop (SSP)
Start page
648
End page
651
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Ann Arbor, MI, USA | August 5-8, 2012 | |
Available on Infoscience
December 19, 2017
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