438 citations · 582 across the 10 of their papers we have counts for
6 papers · 1 filter
Sparsity-Promoting Iterative Learning Control for Resource-Constrained Control Systems
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo
We propose novel iterative learning control algorithms to track a reference trajectory in resource-constrained control systems. In many applications, there are constraints on the n…
A Reinforcement Learning Approach to Power Control and Rate Adaptation in Cellular Networks
Euhanna Ghadimi, Francesco Davide Calabrese, Gunnar Peters +1
Optimizing radio transmission power and user data rates in wireless systems via power control requires an accurate and instantaneous knowledge of the system model. While this probl…
Global convergence of the Heavy-ball method for convex optimization
Euhanna Ghadimi, Hamid Reza Feyzmahdavian, Mikael Johansson
This paper establishes global convergence and provides global bounds of the convergence rate of the Heavy-ball method for convex optimization problems. When the objective function…
Optimal parameter selection for the alternating direction method of multipliers (ADMM): quadratic problems
Euhanna Ghadimi, André Teixeira, Iman Shames +1
The alternating direction method of multipliers (ADMM) has emerged as a powerful technique for large-scale structured optimization. Despite many recent results on the convergence p…
Optimal scaling of the ADMM algorithm for distributed quadratic programming
André Teixeira, Euhanna Ghadimi, Iman Shames +2
This paper presents optimal scaling of the alternating directions method of multipliers (ADMM) algorithm for a class of distributed quadratic programming problems. The scaling corr…
Accelerated Gradient Methods for Networked Optimization
Euhanna Ghadimi, Iman Shames, Mikael Johansson
We develop multi-step gradient methods for network-constrained optimization of strongly convex functions with Lipschitz-continuous gradients. Given the topology of the underlying n…