Chaouki Ben Issaid

Orcid: 0000-0002-4481-8168

According to our database1, Chaouki Ben Issaid authored at least 28 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning.
CoRR, 2023

Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization.
Proceedings of the IEEE International Conference on Communications, 2023


2022
Communication Efficient Decentralized Learning Over Bipartite Graphs.
IEEE Trans. Wirel. Commun., 2022

DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs.
Trans. Mach. Learn. Res., 2022

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs.
IEEE Trans. Green Commun. Netw., 2022

Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation.
IEEE Trans. Green Commun. Netw., 2022

Communication-Efficient and Federated Multi-Agent Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022

Local Stochastic ADMM for Communication-Efficient Distributed Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms.
IEEE Wirel. Commun. Lett., 2021

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning.
IEEE Trans. Commun., 2021

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning.
IEEE Trans. Commun., 2021

Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation.
Proceedings of the IEEE Global Communications Conference, 2021

Federated Distributionally Robust Optimization for Phase Configuration of RISs.
Proceedings of the IEEE Global Communications Conference, 2021

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent.
Proceedings of the IEEE Global Communications Conference, 2021

2020
A CNN-Based Structured Light Communication Scheme for Internet of Underwater Things Applications.
IEEE Internet Things J., 2020

Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM.
CoRR, 2020

User Clustering for MIMO NOMA via Classifier Chains and Gradient-Boosting Decision Trees.
IEEE Access, 2020

2019
Level Crossing Rate and Average Outage Duration of Free Space Optical Links.
IEEE Trans. Commun., 2019

2018
On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over $\alpha -\mu $ , $\kappa -\mu $ , and $\eta -\mu $ Fading Channels.
IEEE Trans. Wirel. Commun., 2018

Efficient outage probability evaluation of diversity receivers over α-μ fading channels.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017
A Generic Simulation Approach for the Fast and Accurate Estimation of the Outage Probability of Single Hop and Multihop FSO Links Subject to Generalized Pointing Errors.
IEEE Trans. Wirel. Commun., 2017

On the Efficient Simulation of the Distribution of the Sum of Gamma-Gamma Variates With Application to the Outage Probability Evaluation Over Fading Channels.
IEEE Trans. Commun., 2017

2016
Fast Outage Probability Simulation for FSO Links with a Generalized Pointing Error Model.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

On the sum of Gamma-Gamma variates with application to the fast outage probability evaluation over fading channels.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


  Loading...