928 citations · 3.8k across the 59 of their papers we have counts for
12 papers · 1 filter
Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications
Gesualdo Scutari, Francisco Facchinei, Lorenzo Lampariello +2
In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex (smooth) objective function, subject to nonconvex constraints, b…
A New Distributed DC-Programming Method and its Applications
Alberth Alvarado, Gesualdo Scutari, Jong-Shi Pang
We propose a novel decomposition framework for the distributed optimization of Difference Convex (DC)-type nonseparable sum-utility functions subject to coupling convex constraints…
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems
Gesualdo Scutari, Francisco Facchinei, Peiran Song +2
We propose a novel decomposition framework for the distributed optimization of general nonconvex sum-utility functions arising naturally in the system design of wireless multiuser…
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Nash Equilibria and Distributed Algorithms
Gesualdo Scutari, Jong-Shi Pang
In this paper, we propose a novel class of Nash problems for Cognitive Radio (CR) networks, modeled as Gaussian frequency-selective interference channels, wherein each secondary us…
Joint Sensing and Power Allocation in Nonconvex Cognitive Radio Games: Quasi-Nash Equilibria
Jong-Shi Pang, Gesualdo Scutari
In this paper, we propose a novel class of Nash problems for Cognitive Radio (CR) networks composed of multiple primary users (PUs) and secondary users (SUs) wherein each SU (playe…
Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections
Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections