319 search results - page 2 / 64 » Convergence rates of consensus algorithms in stochastic netw... |
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with ...
CDC
2010
IEEE
12 years 12 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
CDC
2010
IEEE
12 years 12 months ago
2010
IEEE
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
CDC
2009
IEEE
13 years 2 months ago
2009
IEEE
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...