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conference paper
Clustering via diffusion adaptation over networks
2012
3rd International Workshop on Cognitive Information Processing (CIP)
Distributed processing over networks relies on in-network processing and cooperation among neighboring agents. Cooperation is beneficial when all agents share the same objective or belong to the same group. However, if agents belong to different clusters or are interested in different objectives, then cooperation can be damaging. In this work, we devise an adaptive combination rule that allows agents to learn which neighbors belong to the same cluster and which other neighbors should be ignored. In doing so, the resulting algorithm enables the agents to identify their grouping and to attain improved learning and estimation performance over networks.
Type
conference paper
Authors
Publication date
2012
Publisher
Published in
3rd International Workshop on Cognitive Information Processing (CIP)
Start page
1
End page
6
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Baiona, Spain | May 28-30, 2012 | |
Available on Infoscience
December 19, 2017
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