This paper surveys recent advances related to adaptation, learning, and optimization over
networks. Various distributed strategies are discussed that enable a collection of networked …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

In this work, we consider multitask learning problems where clusters of nodes are interested
in estimating their own parameter vector. Cooperation among clusters is beneficial when the …

In this paper, we suggest a modified distributed compressed sensing (CS) approach based
on the iterative hard thresholding (IHT) algorithm, namely, distributed IHT (DIHT). Our …

The overview article [1] surveyed advances related to adaptation, learning, and optimization
over synchronous networks. Various distributed strategies were discussed that enable a …

Here, we are interested in the case where a randomly chosen subset of agents share
deliberately with their neighbors local information corrupted with gross errors, which is a …

Distributed networks comprising a large number of nodes, eg, Wireless Sensor Networks,
Personal Computers (PC's), laptops, smart phones, etc., which cooperate with each other in …

Κατανεμημένα δίκτυα τα οποία απαρτίζονται από ε΄ ναν μεγάλο αριθμό κόμβων π. χ. Δίκτυα
Ασύρματων Αισθητήρων, προσωπικοί υπολογιστές, φορητοί υπολογιστές, έξυπνα τηλέφωνα …