We study the consensus decentralized optimization problem where the objective function is
the average of agents private non-convex cost functions; moreover, the agents can only …

The increasing scarcity in the available spectrum for wireless communication is one of the
current bottlenecks impairing further deployment of services and coverage. The proper …

Random projection algorithm is of interest for constrained optimization when the constraint
set is not known in advance or the projection operation on the whole constraint set is …

The paper is concerned with the problem of distributed fuzzy filter design for a class of
sensor networks described by discrete-time TS fuzzy systems with time-varying delays and …

We consider solving multi-objective optimization problems in a distributed manner by a
network of cooperating and learning agents. The problem is equivalent to optimizing a …

In this paper, we investigate the self-organization and cognitive abilities of adaptive
networks when the individual agents are allowed to move in pursuit of a target. The nodes …

Adaptive networks rely on in-network and collaborative processing among distributed
agents to deliver enhanced performance in estimation and inference tasks. Information is …

We study the problem of distributed detection, where a set of nodes is required to decide
between two hypotheses based on available measurements. We seek fully distributed and …

Distributed estimation of a common unknown parameter vector can be realized efficiently
and robustly over an adaptive network employing diffusion strategies. In the adapt-then …

Large-scale processes have become common, and fault detection for such processes is
imperative. This work studies the data-driven distributed local fault detection problem for …