Motivated by large-scale optimization problems arising in the context of machine learning,
there have been several advances in the study of asynchronous parallel and distributed …

We propose a novel decomposition framework for the distributed optimization of general
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …

In this article, we have provided a unified view of some basic theoretical foundations and
main techniques in convex optimization, game theory, and VI theory. We put special …

This paper addresses the joint spectrum sharing and power allocation problem for device-to-
device (D2D) communications underlaying a cellular network (CN). In the context of …

Noncooperative game-theoretic tools have been increasingly used to study many important
resource allocation problems in communications, networking, smart grids, and portfolio …

This paper considers the noncooperative maximization of mutual information in the vector
Gaussian interference channel in a fully distributed fashion via game theory. This problem …

The concept of cognitive radio (CR) has recently received great attention from the research
community as a promising paradigm to achieve efficient use of the frequency resource by …

Non-cooperative game theory is a branch of game theory for the resolution of conflicts
among players (or economic agents), each behaving selfishly to optimize their own well …

This paper considers the minimization of transmit power in Gaussian parallel interference
channels, subject to a rate constraint for each user. To derive decentralized solutions that do …

An algorithm for technology map** of combinational and sequential logic networks is
proposed and applied to map** into K-input lookup-tables (K-LUTs). The new algorithm …