A survey of distributed optimization
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 …
function which is a sum of local objective functions. Motivated by applications including …
A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
Tracking-ADMM for distributed constraint-coupled optimization
We consider constraint-coupled optimization problems in which agents of a network aim to
cooperatively minimize the sum of local objective functions subject to individual constraints …
cooperatively minimize the sum of local objective functions subject to individual constraints …
Distributed optimization for energy-efficient fog computing in the tactile internet
Tactile Internet is an emerging concept that focuses on supporting high-fidelity, ultra-
responsive, and widely available human-to-machine interactions. To reduce the …
responsive, and widely available human-to-machine interactions. To reduce the …
Distributed optimization for smart cyber-physical networks
The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …
and control in smart devices has given rise to the novel concept of cyber-physical networks …
Distributed online optimization for multi-agent networks with coupled inequality constraints
This article investigates the distributed online optimization problem over a multi-agent
network subject to local set constraints and coupled inequality constraints, which has a lot of …
network subject to local set constraints and coupled inequality constraints, which has a lot of …
Distributed aggregative optimization over multi-agent networks
This article proposes a new framework for distributed optimization, called distributed
aggregative optimization, which allows local objective functions to be dependent not only on …
aggregative optimization, which allows local objective functions to be dependent not only on …
Distributed proximal algorithms for multiagent optimization with coupled inequality constraints
This article aims to address distributed optimization problems over directed and time-varying
networks, where the global objective function consists of a sum of locally accessible convex …
networks, where the global objective function consists of a sum of locally accessible convex …
Distributed event-triggered gradient method for constrained convex minimization
The event-triggered scheduling of network transmissions has found many applications in
engineering tasks operated in cyber-physical systems for its competitive advantage of …
engineering tasks operated in cyber-physical systems for its competitive advantage of …
Constraint-coupled distributed optimization: A relaxation and duality approach
In this paper, we consider a general challenging distributed optimization setup arising in
several important network control applications. Agents of a network want to minimize the …
several important network control applications. Agents of a network want to minimize the …