On the sum of Gamma-Gamma variates with application to the fast outage probability evaluation over fading channels. - Chaouki Ben Issaid; Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (GlobalSIP, 2016)

Fast Outage Probability Simulation for FSO Links with a Generalized Pointing Error Model. - Chaouki Ben Issaid; Ki-Hong Park; Mohamed-Slim Alouini; Raúl Tempone (GLOBECOM, 2016)

On the Efficient Simulation of the Distribution of the Sum of Gamma-Gamma Variates With Application to the Outage Probability Evaluation Over Fading Channels. - Chaouki Ben Issaid; Nadhir Ben Rached; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Commun., 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. - Chaouki Ben Issaid; Ki-Hong Park; Mohamed-Slim Alouini (IEEE Trans. Wirel. Commun., 2017)

Efficient outage probability evaluation of diversity receivers over α-μ fading channels. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (WCNC, 2018)

On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over -αμ, κ-μ, and η-μ Fading Channels. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Wirel. Commun., 2018)

Level Crossing Rate and Average Outage Duration of Free Space Optical Links. - Chaouki Ben Issaid; Mohamed-Slim Alouini (IEEE Trans. Commun., 2019)

User Clustering for MIMO NOMA via Classifier Chains and Gradient-Boosting Decision Trees. - Chaouki Ben Issaid; Carles Antón-Haro; Xavier Mestre; Mohamed-Slim Alouini (IEEE Access, 2020)

Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM. - Chaouki Ben Issaid; Anis Elgabli; Jihong Park; Mehdi Bennis (CoRR, 2020)

A CNN-Based Structured Light Communication Scheme for Internet of Underwater Things Applications. - Abderrahmen Trichili; Chaouki Ben Issaid; Boon S. Ooi; Mohamed-Slim Alouini (IEEE Internet Things J., 2020)

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. - Anis Elgabli; Chaouki Ben Issaid; Amrit S. Bedi; Mehdi Bennis; Vaneet Aggarwal (GLOBECOM, 2021)

Federated Distributionally Robust Optimization for Phase Configuration of RISs. - Chaouki Ben Issaid; Sumudu Samarakoon; Mehdi Bennis; H. Vincent Poor (GLOBECOM, 2021)

Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation. - Mounssif Krouka; Anis Elgabli; Chaouki Ben Issaid; Mehdi Bennis (GLOBECOM, 2021)

Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels. - Mounssif Krouka; Anis Elgabli; Chaouki Ben Issaid; Mehdi Bennis (PIMRC, 2021)

Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. - Anis Elgabli; Jihong Park; Amrit Singh Bedi; Chaouki Ben Issaid; Mehdi Bennis; Vaneet Aggarwal (IEEE Trans. Commun., 2021)

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning. - Anis Elgabli; Jihong Park; Chaouki Ben Issaid; Mehdi Bennis (IEEE Trans. Commun., 2021)

Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms. - Chaouki Ben Issaid; Mohamed-Slim Alouini; Raúl Tempone (IEEE Wirel. Commun. Lett., 2021)

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. - Anis Elgabli; Chaouki Ben Issaid; Amrit Singh Bedi; Ketan Rajawat; Mehdi Bennis; Vaneet Aggarwal (ICML, 2022)

Local Stochastic ADMM for Communication-Efficient Distributed Learning. - Chaouki Ben Issaid; Anis Elgabli; Mehdi Bennis (WCNC, 2022)

Communication-Efficient and Federated Multi-Agent Reinforcement Learning. - Mounssif Krouka; Anis Elgabli; Chaouki Ben Issaid; Mehdi Bennis (IEEE Trans. Cogn. Commun. Netw., 2022)

Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation. - Mounssif Krouka; Anis Elgabli; Chaouki Ben Issaid; Mehdi Bennis (IEEE Trans. Green Commun. Netw., 2022)

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs. - Beatriz Soret; Lam Duc Nguyen; Jan Seeger; Arne Bröring; Chaouki Ben Issaid; Sumudu Samarakoon; Anis El Gabli; Vivek Kulkarni; Mehdi Bennis; Petar Popovski (IEEE Trans. Green Commun. Netw., 2022)

DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs. - Chaouki Ben Issaid; Anis Elgabli; Mehdi Bennis (Trans. Mach. Learn. Res., 2022)

Communication Efficient Decentralized Learning Over Bipartite Graphs. - Chaouki Ben Issaid; Anis Elgabli; Jihong Park; Mehdi Bennis; Mérouane Debbah (IEEE Trans. Wirel. Commun., 2022)

ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks. - Christophoros Christophorou; Iacovos Ioannou; Vasos Vassiliou; Loizos Christofi; John S. Vardakas; Erin E. Seder; Carla-Fabiana Chiasserini; Marius Iordache; Chaouki Ben Issaid; Ioannis Markopoulos; Giulio Franzese; Tanel Järvet; et al. (GLOBECOM (Workshops), 2023)

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization. - Abdulmomen Ghalkha; Chaouki Ben Issaid; Anis Elgabli; Mehdi Bennis (ICC, 2023)

Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning. - Mounssif Krouka; Anis Elgabli; Chaouki Ben Issaid; Mehdi Bennis (WCNC, 2023)

Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning. - Mohamed Badi; Chaouki Ben Issaid; Anis Elgabli; Mehdi Bennis (CoRR, 2023)

Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm. - Ahmed Elbakary; Chaouki Ben Issaid; Mohammad Shehab; Karim G. Seddik; Tamer A. ElBatt; Mehdi Bennis (ICC, 2024)

MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models. - Ahmed Elbakary; Chaouki Ben Issaid; Tamer A. ElBatt; Karim G. Seddik; Mehdi Bennis (CoRR, 2024)

Quantized FedPD (QFedPD): Beyond Conventional Wisdom - The Energy Benefits of Frequent Communication. - Anis Elgabli; Chaouki Ben Issaid; Mohamed Badi; Mehdi Bennis (IEEE Internet Things J., 2025)

Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach. - Chaouki Ben Issaid; Praneeth Vepakomma; Mehdi Bennis (Trans. Mach. Learn. Res., 2025)

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. - Adnan Shahid; Adrian Kliks; Ahmed Al-Tahmeesschi; Ahmed Elbakary; Alexandros Nikou; Ali Maatouk; Ali Mokh; Amirreza Kazemi; Antonio De Domenico; Athanasios Karapantelakis; Bo Cheng 001; Bo Yang 035; et al. (CoRR, 2025)

Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation. - Abdulmomen Ghalkha; Chaouki Ben Issaid; Mehdi Bennis (IEEE Wirel. Commun. Lett., 2025)

Distributionally Robust Federated Learning with Client Drift Minimization. - Mounssif Krouka; Chaouki Ben Issaid; Mehdi Bennis (CoRR, 2025)

Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach. - Ahmed Elbakary; Chaouki Ben Issaid; Mehdi Bennis (CoRR, 2025)

Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems. - Abdulmomen Ghalkha; Zhuojun Tian; Chaouki Ben Issaid; Mehdi Bennis (CoRR, 2025)

Resilient-Native and Intelligent Next-Generation Wireless Systems: Key Enablers, Foundations, and Applications. - Mehdi Bennis; Sumudu Samarakoon; Tamara Alshammari; Chathuranga Weeraddana; Zhoujun Tian; Chaouki Ben Issaid (CoRR, 2025)

A Decentralized Matching Theory Framework to Match Data and Algorithms Providers. - Chaouki Ben Issaid; Mehdi Bennis (IEEE Netw. Lett., 2025)

A Web-Based Solution for Federated Learning With LLM-Based Automation. - Chamith Mawela; Chaouki Ben Issaid; Mehdi Bennis (IEEE Internet Things J., 2025)