In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

Advances in wired and wireless technology have necessitated the development of theory,
models, and tools to cope with the new challenges posed by large-scale control and …

Increase in the deployment of distributed energy resources (DERs) has triggered a new
trend to redesign electricity markets as consumer-centric markets relying on peer-to-peer …

In decentralized optimization, nodes cooperate to minimize an overall objective function that
is the sum (or average) of per-node private objective functions. Algorithms interleave local …

This paper considers the problem of distributed optimization over time-varying graphs. For
the case of undirected graphs, we introduce a distributed algorithm, referred to as DIGing …

There has been a growing effort in studying the distributed optimization problem over a
network. The objective is to optimize a global function formed by a sum of local functions …

The smart grid technology has increased the penetration of distributed energy resources by
the development and expansion of communication infrastructures and thus arisen the need …

Recently, there has been growing interest in solving consensus optimization problems in a
multiagent network. In this paper, we develop a decentralized algorithm for the consensus …

Technological advances in ad hoc networking and the availability of low-cost reliable
computing, data storage, and sensing devices have made scenarios possible where the …

The next-generation of pavement maintenance and rehabilitation (M&R) decision-making
needs to weigh multiple strategic goals to achieve sustainable development through the …