Adaptive Robust Distributed Learning in Diffusion Sensor Networks
Volume: 59, Issue: 10, Pages: 4692 - 4707
Published: Oct 1, 2011
Abstract
In this paper, the problem of adaptive distributed learning in diffusion networks is considered. The algorithms are developed within the convex set theoretic framework. More specifically, they are based on computationally simple geometric projections onto closed convex sets. The paper suggests a novel combine-project-adapt protocol for cooperation among the nodes of the network; such a protocol fits naturally with the philosophy that underlies...
Paper Details
Title
Adaptive Robust Distributed Learning in Diffusion Sensor Networks
Published Date
Oct 1, 2011
Volume
59
Issue
10
Pages
4692 - 4707
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