TY - GEN
T1 - A novel adaptive algorithm for diffusion networks using projections onto hyperslabs
AU - Chouvardas, Symeon
AU - Slavakis, Konstantinos
AU - Theodoridis, Sergios
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78349251739&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78349251739&partnerID=8YFLogxK
U2 - 10.1109/CIP.2010.5604244
DO - 10.1109/CIP.2010.5604244
M3 - Conference contribution
AN - SCOPUS:78349251739
SN - 9781424464593
T3 - 2010 2nd International Workshop on Cognitive Information Processing, CIP2010
SP - 393
EP - 398
BT - 2010 2nd International Workshop on Cognitive Information Processing, CIP2010
T2 - 2010 2nd International Workshop on Cognitive Information Processing, CIP2010
Y2 - 14 June 2010 through 16 June 2010
ER -