Unlike traditional homogeneous single-task wireless sensor networks (WSNs),
heterogeneous and multitask WSNs allow the cooperation among multiple heterogeneous …

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 …

The design of adaptive finite impulse response filters is a linear optimization problem and
the design of adaptive infinite impulse response (IIR) filters in the presence of observation …

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 …

Online learning with streaming data in a distributed and collaborative manner can be useful
in a wide range of applications. This topic has been receiving considerable attention in …

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 …

This work provides a comprehensive overview of adaptive diffusion networks, from the first
papers published on the subject to state-of-the-art solutions and current challenges. These …

Distributed estimation with multitask clustering in wireless sensor networks has always been
a challenging and attractive topic. When the multitask estimation problem becomes complex …

We study the problem of diffusion-based network learning of a nonlinear phenomenon, m,
from local agents' measurements collected in a noisy environment. For a decentralized …

In this paper, we address the problem of distributed adaptive estimation of node-specific
signals for signal enhancement or noise reduction in wireless sensor networks with multi …