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AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning


May 02, 2021
Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar

* 6 pages, 6 figures 

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Communication-Efficient and Personalized Federated Lottery Ticket Learning


Apr 26, 2021
Sejin Seo, Seung-Woo Ko, Jihong Park, Seong-Lyun Kim, Mehdi Bennis

* 5 pages, 2 figures, 2 tables 

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Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction


Apr 16, 2021
Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi


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Distributed Learning in Wireless Networks: Recent Progress and Future Challenges


Apr 05, 2021
Mingzhe Chen, Deniz GĂĽndĂĽz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor


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Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces


Mar 31, 2021
Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong


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A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning


Mar 18, 2021
Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, Mehdi Bennis

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

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Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles


Feb 05, 2021
Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis

* 30 pages, 6 figures 

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Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks


Feb 02, 2021
Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis


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Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems


Jan 12, 2021
Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri

* The paper has been accepted for publication in the IEEE Communications Magazine. The current arXiv contains an additional Appendix that describes the dataset for the setup of Fig. 5 

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Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus


Jan 09, 2021
Hang Chen, Syed Ali Asif, Jihong Park, Chien-Chung Shen, Mehdi Bennis

* 8 pages, 7 figures, AAAI 2021 Workshop - Towards Robust, Secure and Efficient Machine Learning 

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Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning


Dec 07, 2020
Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon, Mehdi Bennis, Walid Saad

* 29 pages (single column, double space), 8 figures, Under review for possible publication in IEEE Transactions on Communication 

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Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming


Nov 12, 2020
Mounssif Krouka, Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal


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BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization


Nov 09, 2020
Tamara Alshammari, Sumudu Samarakoon, Anis Elgabli, Mehdi Bennis

* 6 pages, 5 figures, conference 

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Federated Knowledge Distillation


Nov 04, 2020
Hyowoon Seo, Jihong Park, Seungeun Oh, Mehdi Bennis, Seong-Lyun Kim

* 30 pages, 12 figures, 2 tables; This chapter is written for the forthcoming book, Machine Learning and Wireless Communications (Cambridge University Press), edited by H. V. Poor, D. Gunduz, A. Goldsmith, and Y. Eldar 

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Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV


Nov 03, 2020
Qianqian Zhang, Walid Saad, Mehdi Bennis


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Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks


Oct 20, 2020
Ju-Hyung Lee, Jihong Park, Mehdi Bennis, Young-Chai Ko


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When Wireless Communications Meet Computer Vision in Beyond 5G


Oct 13, 2020
Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler

* 7 pages, 4 figures; This work has been submitted to IEEE Communications Standards Magazine for possible publication 

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Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces


Oct 09, 2020
George C. Alexandropoulos, Sumudu Samarakoon, Mehdi Bennis, Merouane Debbah

* 6 pages, 6 figures, accepted to IEEE GLOBECOM 2020 

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Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels


Oct 08, 2020
Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang


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


Sep 14, 2020
Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis

* 39 pages, 6 figures 

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Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications


Aug 06, 2020
Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, MĂ©rouane Debbah

* 20 pages, 14 figures; This article has been submitted to IEEE for possible publication 

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Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems


Jul 15, 2020
Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji


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Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning


Jul 03, 2020
Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis


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Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup


Jun 17, 2020
Seungeun Oh, Jihong Park, Eunjeong Jeong, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

* 5 pages, 3 figures, 3 tables, accepted to IEEE Communications Letters 

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XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning


Jun 09, 2020
MyungJae Shin, Chihoon Hwang, Joongheon Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim


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Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks


May 26, 2020
Ju-Hyung Lee, Jihong Park, Mehdi Bennis, Young-Chai Ko


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Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning


May 15, 2020
Han Cha, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

* 8 pages, 5 figures, This paper is accepted to IEEE Intelligent Systems special issue of July/Aug 2020 - Federated Machine Learning 

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Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning


May 13, 2020
Han Cha, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim

* 8 pages, 5 figures, This paper is accepted to IEEE Intelligent Systems special issue of July/Aug 2020 - Federated Machine Learning 

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6G White Paper on Edge Intelligence


Apr 30, 2020
Ella Peltonen, Mehdi Bennis, Michele Capobianco, Merouane Debbah, Aaron Ding, Felipe Gil-Castiñeira, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Adrian Kliks, Teemu Leppänen, Lauri Lovén, Tommi Mikkonen, Ashwin Rao, Sumudu Samarakoon, Kari Seppänen, Paweł Sroka, Sasu Tarkoma, Tingting Yang


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Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation


Mar 12, 2020
Hamza Khan, M. Majid Butt, Sumudu Samarakoon, Philippe Sehier, Mehdi Bennis

* 6 Pages, 5 Figures, Accepted for publication in: IEEE ICC 2020 Workshop on Ultra-high speed, Low latency and Massive Communication for futuristic 6G Networks (ULMC6GN) 

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