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

The lack of availability of radio spectrum for wireless communication purposes is becoming
a serious problem as more wireless systems and services are being developed and operate …

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 …

We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …

Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The
nodes interact with each other on a local level and diffuse information across the network to …

This paper develops a distributed optimization strategy with guaranteed exact convergence
for a broad class of left-stochastic combination policies. The resulting exact diffusion strategy …

This note studies the problem of distributed estimation for jump Markov nonlinear systems
(JMNLSs) in a not fully connected sensor network. Based on the consensus theory, a …

This paper carries out a detailed transient analysis of the learning behavior of multiagent
networks, and reveals interesting results about the learning abilities of distributed strategies …

The current big data deluge requires innovative solutions for performing efficient inference
on large, heterogeneous amounts of information. Apart from the known challenges deriving …

The alternating direction multipliers method (ADMM) has been recently proposed as a
practical and efficient algorithm for distributed computing. We discuss its applicability to the …