Mehdi Bennis

Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning

Sep 19, 2022
Xianfu Chen, Zhifeng Zhao, Shiwen Mao, Celimuge Wu, Honggang Zhang, Mehdi Bennis

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* This work has been submitted to the IEEE for possible publication

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DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs

Aug 29, 2022
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis

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* Accepted at Transactions on Machine Learning Research (TMLR)

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Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities

Aug 02, 2022
Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas, Mehdi Bennis

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* 7pages, submitted to IEEE

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Slimmable Quantum Federated Learning

Jul 20, 2022
Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim

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* ICML 2022 Workshop on Dynamic Neural Networks (Spotlight Paper)

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Towards Semantic Communication Protocols: A Probabilistic Logic Perspective

Jul 08, 2022
Sejin Seo, Jihong Park, Seung-Woo Ko, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim

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Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning

Jul 01, 2022
Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

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* won the Best Student Paper Award at International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22), Vienna, Austria

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Social-aware Cooperative Caching in Fog Radio Access Networks

Jun 28, 2022
Baotian Fan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You

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* 6 pages, 5 figures. This paper has been accepted by IEEE ICC 2022

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A Federated Reinforcement Learning Method with Quantization for Cooperative Edge Caching in Fog Radio Access Networks

Jun 23, 2022
Yanxiang Jiang, Min Zhang, Fu-Chun Zheng, Yan Chen, Mehdi Bennis, Xiaohu You

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* 14 pages,12 figures

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An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

Jun 21, 2022
Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis

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* accepted for publication in IEEE Transactions on Green Communications and Networking

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FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning

Jun 17, 2022
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal

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