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 …

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

The recursive least-squares (RLS) algorithm has well-documented merits for reducing
complexity and storage requirements, when it comes to online estimation of stationary …

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 …

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

In diffusion-based algorithms for adaptive distributed estimation, each node of an adaptive
network estimates a target parameter vector by creating an intermediate estimate and then …

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

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 study the problem of distributed adaptive estimation over networks where nodes
cooperate to estimate physical parameters that can vary over both space and time domains …