Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

The development of distributed energy resources, such as rooftop photovoltaic (PV) panels,
batteries, and electric vehicles (EVs), has decentralized the power system operation, where …

Voltage regulation in distribution networks is increasingly challenged by the penetration of
distributed energy resources (DERs). This paper develops a distributed voltage control …

Methods for distributed optimization have received significant attention in recent years owing
to their wide applicability in various domains including machine learning, robotics, and …

Federated Learning (FL) is an emerging framework for distributed processing of large data
volumes by edge devices subject to limited communication bandwidths, heterogeneity in …

In this paper, we propose the primal-dual method of multipliers (PDMM) for distributed
optimization over a graph. In particular, we optimize a sum of convex functions defined over …

In this article, we focus on the problem of minimizing the sum of convex cost functions in a
distributed fashion over a peer-to-peer network. In particular, we are interested in the case in …

The event-triggered scheduling of network transmissions has found many applications in
engineering tasks operated in cyber-physical systems for its competitive advantage of …

The alternating direction method of multipliers (ADMM) has been popular for solving many
signal processing problems, convex or nonconvex. In this paper, we study an asynchronous …

This paper introduces a decentralized economic dispatch method and an architecture
suitable for the virtual power plant (VPP) aggregating massive distributed energy resources …