An adaptive distributed strategy is developed based on incremental techniques. The
proposed scheme addresses the problem of linear estimation in a cooperative fashion, in …

An adaptive distributed estimation strategy is developed based on incremental gradient
techniques. The proposed scheme addresses the problem of distributed linear estimation in …

The article describes recent adaptive estimation algorithms over distributed networks. The
algorithms rely on local collaborations and exploit the space-time structure of the data. Each …

8>>>< >>>: Page 1 DISTRIBUTED PROCESSING OVER ADAPTIVE NETWORKS Ali H. Sayed
and Cassio G. Lopes Department of Electrical Engineering University of California Los Angeles …

We study the problem of distributed estimation over adaptive networks where a collection of
nodes are required to estimate in a collaborative manner some parameter of interest from …

We formulate and study distributed estimation algorithms based on diffusion protocols to
implement cooperation among individual adaptive nodes. The individual nodes are …

A distributed least-squares estimation strategy is developed by appealing to collaboration
techniques that exploit the space-time structure of the data, achieving an exact recursive …

Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The
nodes interact with each other on a local level and diffuse information across the network to …

We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …

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 …