Mehdi Bennis

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, Mérouane 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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Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning

Feb 24, 2020
Qianqian Zhang, Walid Saad, Mehdi Bennis

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Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

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Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

Nov 27, 2019
Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Mehdi Bennis, Walid Saad

* Accepted for publication in IEEE Communication Letters with 4 pages and 4 figures

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L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning

Nov 09, 2019
Anis Elgabli, Jihong Park, Sabbir Ahmed, Mehdi Bennis

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Mehdi Bennis

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

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

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning

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

BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization

Federated Knowledge Distillation

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

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

When Wireless Communications Meet Computer Vision in Beyond 5G

Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces

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

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

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

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

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

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

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

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

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning

Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning

6G White Paper on Edge Intelligence

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

Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning

Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory

Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication

Advances and Open Problems in Federated Learning

Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning