A novel adaptive algorithm for diffusion networks using projections onto hyperslabs

Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper, a new algorithm for distributed learning in sensor networks is developed. The algorithm is built upon a diffusion protocol to implement cooperation among neighbouring nodes. The algorithm is developed in the convex set theoretic approach, and it is based on a sequence of metric projections on hyperslabs. Full convergence results have been obtained and the experimental set up demonstrates significant performance improvements, compared to previously derived algorithms of similar complexity.

Original languageEnglish (US)
Title of host publication2010 2nd International Workshop on Cognitive Information Processing, CIP2010
Pages393-398
Number of pages6
DOIs
StatePublished - Nov 22 2010
Event2010 2nd International Workshop on Cognitive Information Processing, CIP2010 - Elba Island, Italy
Duration: Jun 14 2010Jun 16 2010

Publication series

Name2010 2nd International Workshop on Cognitive Information Processing, CIP2010

Other

Other2010 2nd International Workshop on Cognitive Information Processing, CIP2010
CountryItaly
CityElba Island
Period6/14/106/16/10

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