We conduct research along subjects related to Collaborative Signal and Information Processing motivated by networked sensing. Specifically we're focusing on (Statistical) Inference under communication constraints where a distributed system represented with a graph performs estimation of a random field. We study the estimation algorithms in distributed settings and try to establish a perspective to the trade of issue between estimation accuracy and cost of
communication within the system.
In the framework of the "Communication Constrained Distributed Estimation" project, the following papers are published: