This paper proposes two nonlinear dynamics to solve constrained distributed optimization
problem for resource allocation over a multi-agent network. In this setup, coupling constraint …

In this letter, we propose distributed and networked energy management scenarios to
optimize the production and reservation of energy among a set of distributed energy nodes …

Decentralized algorithms have gained substantial interest owing to advancements in cloud
computing, Internet of Things (IoT), intelligent transportation networks, and parallel …

Resource allocation and scheduling in multi-agent systems present challenges due to
complex interactions and decentralization. This survey paper provides a comprehensive …

In this article, we investigate a constrained composition optimization problem in a directed
communication network. Each agent is equipped with a local objective function composed of …

Distributed allocation finds applications in many scenarios including CPU scheduling,
distributed energy resource management, and networked coverage control. In this paper, we …

This paper considers distributed optimization algorithms, with application in binary
classification via distributed support vector machines (D-SVM) over multi-agent networks …

Efficient resource allocation and scheduling algorithms are essential for various distributed
applications, ranging from wireless networks and cloud computing platforms to autonomous …

In this paper, we solve the convex distributed optimization problems, which include
unconstrained optimization and a special constrained problem commonly known as a …

Distributed resource allocation finds applications in multi-agent-based networked learning
and scheduling scenarios. One main application is to distribute and parallelize the …