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 …

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 article reviews significant advances in networked signal and information processing
(SIP), which have enabled in the last 25 years extending decision making and inference …

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

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 …

Part I of this paper developed the exact diffusion algorithm to remove the bias that is
characteristic of distributed solutions for deterministic optimization problems. The algorithm …

The wireless sensor network has its applications spread in almost every domain of
networking, and to improve the lifetime of the limited power network various approaches are …

This paper develops a distributed variance-reduced strategy for a collection of interacting
agents that are connected by a graph topology. The resulting diffusion-AVRG (where AVRG …

Consensus in sensor networks is a procedure to corroborate the local measurements of the
sensors with those of the surrounding nodes, and leads to a final agreement about a …