[J22] Chaouki Ben Issaid, Praneeth Vepakomma, and Mehdi Bennis. "Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach.", Transactions on Machine Learning Research, 2025. Link
[J21] Chaouki Ben Issaid and Mehdi Bennis. "A Decentralized Matching Theory Framework to Match Data and Algorithms Providers." IEEE Networking Letters, 2025. Link
[J20] Ahmed Elbakary, Chaouki Ben Issaid, Tamer ElBatt, Karim Seddik, and Mehdi Bennis. "MIRA: A Method of Federated Muti-Task Learning for Large Language Models." IEEE Networking Letters, 2025. Link
[J19] Abdulmomen Ghalkha, Chaouki Ben Issaid, and Mehdi Bennis. "Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation." IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 716-720, 2025. Link
[J18] Anis Elgabli, Chaouki Ben Issaid, Mohamed Badi, and Mehdi Bennis. "Quantized FedPD (QFedPD): Beyond Conventional Wisdom — The Energy Benefits of Frequent Communication." IEEE Internet of Things Journal, vol. 12, no. 1, pp. 502-514, 2025. Link
[J17] Abdulmomen Ghalkha, Chaouki Ben Issaid, Anis Elgabli, and Mehdi Bennis. "DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization." IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, no. 1, pp. 663-674, 2024. Link
[J16] Sergio Zubelzu, Abdulmomen Ghalkha, Chaouki Ben Issaid, Andrea Zanella, and Mehdi Bennis. "Coupling Machine Learning and Physical Modelling for Predicting runoff at Catchment Scale." Journal of Environmental Management, 2024. Link
[J15] Chaouki Ben Issaid, Anis Elgabli, and Mehdi Bennis. "DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs." Transactions on Machine Learning Research, 2022. Link
[J14] Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, and Mehdi Bennis. "Communication-efficient federated learning: A second order Newton-type method with analog over-the-air aggregation." IEEE Transactions on Green Communications and Networking 6, no. 3, pp. 1862-1874, 2022. Link
[J13] Beatriz Soret, Lam D. Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, and Petar Popovski. "Learning, computing, and trustworthiness in intelligent IOT environments: Performance-energy tradeoffs." IEEE Transactions on Green Communications and Networking 6, no. 1, pp. 629-644, 2021. Link
[J12] Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, and Mehdi Bennis. "Communication-efficient and federated multi-agent reinforcement learning." IEEE Transactions on Cognitive Communications and Networking 8, no. 1, pp. 311-320, 2021. Link
[J11] Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis, and Mérouane Debbah. "Communication efficient decentralized learning over bipartite graphs." IEEE Transactions on Wireless Communications 21, no. 6, pp. 4150-4167, 2021. Link
[J10] Anis Elgabli, Jihong Park, Chaouki Ben Issaid, and Mehdi Bennis. "Harnessing wireless channels for scalable and privacy-preserving federated learning." IEEE Transactions on Communications 69, no. 8, pp. 5194-5208, 2021. Link
[J9] Chaouki Ben Issaid, Mohamed-Slim Alouini and Raul Tempone, "Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms," in IEEE Wireless Communications Letters, vol. 10, no. 3, pp. 527-531, 2021. Link
[J8] Chaouki Ben Issaid, Carles Antón-Haro, Xavier Mestre, and Mohamed-Slim Alouini. "User clustering for MIMO NOMA via classifier chains and gradient-boosting decision trees." IEEE Access 8, pp. 211411-211421, 2020. Link
[J7] A. Elgabli, Jihong Park, Amrit S. Bedi, Chaouki Ben Issaid, Mehdi Bennis and Vaneet Aggarwal, "Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning," in IEEE Transactions on Communications, vol. 69, no. 1, pp. 164-181, 2021. Link
[J6] Abderrahmen Trichili, Chaouki Ben Issaid, Boon S. Ooi and Mohamed-Slim Alouini, "A CNN-Based Structured Light Communication Scheme for Internet of Underwater Things Applications," in IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10038-10047, 2020. Link
[J5] Chaouki Ben Issaid and Mohamed-Slim Alouini, "Level Crossing Rate and Average Outage Duration of Free Space Optical Links," in IEEE Transactions on Communications, vol. 67, no. 9, pp. 6234-6242, 2019. Link
[J4] Chaouki Ben Issaid, Mohamed-Slim Alouini and Raul Tempone, "On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over α−μ, κ−μ, and η−μ Fading Channels," in IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 1255-1268, 2018. Link
[J3] Chaouki Ben Issaid, Mohamed-Slim Alouini and Raul Tempone, "Efficient Simulation of the Outage Probability of Multihop Systems," in IEEE Photonics Journal, vol. 9, no. 6, pp. 1-8, 2017. Link
[J2] Chaouki Ben Issaid, Ki-Hong Park and Mohamed-Slim Alouini, "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," in IEEE Transactions on Wireless Communications, vol. 16, no. 10, pp. 6822-6837, 2017. Link
[J1] Chaouki Ben Issaid, Nadhir Ben Rached, Abla Kammoun, Mohamed-Slim Alouini and R. Tempone, "On the Efficient Simulation of the Distribution of the Sum of Gamma–Gamma Variates With Application to the Outage Probability Evaluation Over Fading Channels," in IEEE Transactions on Communications, vol. 65, no. 4, pp. 1839-1848, 2017. Link
[C17] Abdulmomen Ghalkha, Zhuojun Tian, Chaouki Ben Issaid, and Mehdi Bennis, "A Sheaf-Theoretic Approach to Decentralized Multimodal Federated Learning for Next-Generation Communication Systems," PIMRC 2025 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Link
[C16] Ahmed Elbakary, Chaouki Ben Issaid, Mohammad Shehab, Karim Seddik, Tamer ElBatt, and Mehdi Bennis, "Fed-Sophia: A Communication-efficient Second-order Federated Learning Algorithm," ICC 2024 - IEEE International Conference on Communications. Link
[C15] Mohamed Badi, Chaouki Ben Issaid, Anis Elgabli and Mehdi Bennis, "Balancing Energy Efficiency and Distributional Robustness in Over-The-Air Federated Learning," ICMLCN 2024 - IEEE International Conference on Machine Learning for Communication and Networking. Link
[C14] 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, and Christos Verikoukis, "ADROIT6G DAI-driven Open and Programmable Architecture for 6G Networks", 2023 IEEE Global Communications Conference (Globecom) Workshop. Link
[C13] Abdulmomen Ghalkha, Chaouki Ben Issaid, Anis Elgabli and Mehdi Bennis, "DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization," ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 4391-4396. Link
[C12] Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid and Mehdi Bennis, "Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-7. Link
[C11] Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, and Vaneet Aggarwal. "FedNew: A communication-efficient and privacy-preserving Newton-type method for federated learning." In International Conference on Machine Learning (ICML), pp. 5861-5877. PMLR, 2022. Link
[C10] Chaouki Ben Issaid, Anis Elgabli, and Mehdi Bennis. "Local Stochastic ADMM for Communication-Efficient Distributed Learning." In 2022 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1880-1885. IEEE, 2022. Link
[C8] Chaouki Ben Issaid, Sumudu Samarakoon, Mehdi Bennis, and H. Vincent Poor. "Federated distributionally robust optimization for phase configuration of RISs." In 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2021. Link
[C7] Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, and Mehdi Bennis. "Communication-efficient split learning based on analog communication and over-the-air aggregation." In 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2021. Link
[C6] Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, and Vaneet Aggarwal. "Energy-efficient and federated meta-learning via projected stochastic gradient ascent." In 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. IEEE, 2021. Link
[C5] Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, and Mehdi Bennis. "Energy-efficient model compression and splitting for collaborative inference over time-varying channels." In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1173-1178. IEEE, 2021. Link
[C4] Abderrahmen Trichili, Chaouki Ben Issaid, Yujian Guo, Tien Khee Ng, Boon S. Ooi, and Mohamed-Slim Alouini, "Detecting Underwater Laguerre Gaussian Modes using a Convolutional Neural Network," in OSA Advanced Photonics Congress (AP), paper SpT2E.4, 2019. Link
[C3] Chaouki Ben Issaid, Mohamed-Slim Alouini and Raul Tempone, "Efficient outage probability evaluation of diversity receivers over α-μ fading channels," in IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, pp. 1-6, 2018. Link
[C2] Chaouki Ben Issaid, Nadhir Ben Rached, Abla Kammoun, Mohamed-Slim Alouini and Raul Tempone, "On the sum of Gamma-Gamma variates with application to the fast outage probability evaluation over fading channels," in IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, USA, pp. 25-29, 2016. Link
[C1] Chaouki Ben Issaid, Ki-Hong Park, Mohamed-Slim Alouini and Raul Tempone, "Fast Outage Probability Simulation for FSO Links with a Generalized Pointing Error Model," in IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, pp. 1-7 2016. Link
[W1] LARGE-SCALE AI IN TELECOM Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. Link