E. Ghadimi

发表

Multi-Step Gradient Methods for Networked Optimization

M. Johansson, I. Shames, E. Ghadimi, 2013, IEEE Transactions on Signal Processing.

Accelerated gradient methods for networked optimization

M. Johansson, I. Shames, E. Ghadimi, 2011 .

Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems

Euhanna Ghadimi, Mikael Johansson, André Teixeira, 2013, IEEE Transactions on Automatic Control.

Low power, low delay: Opportunistic routing meets duty cycling

Euhanna Ghadimi, Olaf Landsiedel, Mikael Johansson, 2012, International Symposium on Information Processing in Sensor Networks.

A reinforcement learning approach to power control and rate adaptation in cellular networks

Euhanna Ghadimi, Francesco Davide Calabrese, Pablo Soldati, 2016, 2017 IEEE International Conference on Communications (ICC).

Global convergence of the Heavy-ball method for convex optimization

Euhanna Ghadimi, Hamid Reza Feyzmahdavian, Mikael Johansson, 2014, 2015 European Control Conference (ECC).

Accelerating Convergence of Large-scale Optimization Algorithms

Euhanna Ghadimi, E. Ghadimi, 2015 .

Sparsity-promoting iterative learning control for resource-constrained control systems

Daniel E. Quevedo, Euhanna Ghadimi, Burak Demirel, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Efficient rule based structural algorithms for classification of tree structured data

Caro Lucas, Euhanna Ghadimi, Masoud Rahgozar, 2009, Intell. Data Anal..

Optimal scaling of the ADMM algorithm for distributed quadratic programming

Henrik Sandberg, Euhanna Ghadimi, Mikael Johansson, 2013, 52nd IEEE Conference on Decision and Control.

The ADMM Algorithm for Distributed Quadratic Problems: Parameter Selection and Constraint Preconditioning

Henrik Sandberg, Euhanna Ghadimi, Mikael Johansson, 2016, IEEE Transactions on Signal Processing.

Multi-Step Gradient Methods for Networked Optimization

M. Johansson, I. Shames, E. Ghadimi, 2011, IEEE Transactions on Signal Processing.

Learning Radio Resource Management in RANs: Framework, Opportunities, and Challenges

Li Wang, Lajos Hanzo, Euhanna Ghadimi, 2018, IEEE Communications Magazine.

Opportunistic Routing in Low Duty-Cycle Wireless Sensor Networks

Euhanna Ghadimi, Pablo Soldati, Olaf Landsiedel, 2014, ACM Trans. Sens. Networks.

Low power, low delay: Opportunistic routing meets duty cycling

Euhanna Ghadimi, Olaf Landsiedel, Mikael Johansson, 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).

Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control

Daniel E. Quevedo, Euhanna Ghadimi, Mikael Johansson, 2017, IEEE Transactions on Control of Network Systems.

Accelerated gradient methods for networked optimization

Euhanna Ghadimi, Mikael Johansson, Iman Shames, 2011, Proceedings of the 2011 American Control Conference.

A metric for opportunistic routing in duty cycled wireless sensor networks

Euhanna Ghadimi, Pablo Soldati, Olaf Landsiedel, 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

Reinforcement Learning for Link Adaptation in 5G-NR Networks

E. Ghadimi, Quan Zhou, Evagoras Makridis, 2020 .

QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning

Euhanna Ghadimi, Vidit Saxena, Soma Tayamon, 2021, 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Learning Radio Resource Management in 5G Networks: Framework, Opportunities and Challenges pdf

Li Wang, Euhanna Ghadimi, Francesco Davide Calabrese, 2016, ArXiv.

The ADMM algorithm for distributed averaging: Convergence rates and optimal parameter selection

Euhanna Ghadimi, Michael G. Rabbat, Mikael Johansson, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

On the Optimal Step-size Selection for the Alternating Direction Method of Multipliers*

Euhanna Ghadimi, Mikael Johansson, Iman Shames, 2012 .