Nonconvex optimization is a critical area of study in mathematics and computer science, focusing on finding the best solutions for problems where the objective function is not convex. This means ...

Abstract: This article investigates the problem of distributed optimization over multiagent networks with the global objective being the sum of a set of possibly nonconvex functions. Based on recent ...

Our formulation shows that these group-level precoding strategies present highly nonconvex challenges. To address these difficulties, we adopt successive convex approximation (SCA) methodology, which ...