Adaptive networks are suitable for decentralized inference tasks. Recent works have
intensively studied distributed optimization problems in the case where the nodes have to …

The diffusion LMS algorithm has been extensively studied in recent years. This efficient
strategy allows to address distributed optimization problems over networks in the case …

This paper presents the implementation of Active Noise Control (ANC) systems over a
network of distributed acoustic nodes. For this purpose we define a general acoustic node …

A distributed adaptive algorithm is proposed to solve a node-specific parameter estimation
problem where the nodes are interested in estimating parameters that can be of local …

We consider distributed multitask learning problems over a network of agents where each
agent is interested in estimating its own parameter vector, also called task, and where the …

An improved incremental normalized least mean square (INLMS) algorithm is developed by
minimizing the Huber cost function, which is robust against impulsive noises, over …

There are many important applications that are multitask-oriented in the sense that there are
multiple optimum parameter vectors to be inferred simultaneously by networked agents. In …

Recent research works on distributed adaptive networks have intensively studied the case
where the nodes estimate a common parameter vector collaboratively. However, there are …

A distributed adaptive algorithm is proposed to solve a node-specific parameter estimation
problem where nodes are interested in estimating parameters of local interest and …

Multitask diffusion strategies are useful to estimate node-specific, or, multiple parameter
vectors over a distributed network by exploiting inter-cluster and intra-cluster cooperation …