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

Mar 11, 2020
Dingzhu Wen, Mehdi Bennis, Kaibin Huang


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

Mar 09, 2020
Hamid Shiri, Jihong Park, Mehdi Bennis


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

Feb 19, 2020
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis

* 8 pages, 4 figures 

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

Jan 22, 2020
Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong

* IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, VOL. 5, NO. 4, DECEMBER 2019 
* 13 pages, 14 figures 

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Advances and Open Problems in Federated Learning

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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A Crowdsourcing Framework for On-Device Federated Learning

Nov 04, 2019
Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong


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Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

Oct 23, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal

* 5 pages, 2 figures; submitted to IEEE ICASSP 2020 

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Remote UAV Online Path Planning via Neural Network Based Opportunistic Control

Oct 11, 2019
Hamid Shiri, Jihong Park, Mehdi Bennis

* 5 pages, 2 figures; This work has been submitted to the IEEE for possible publication 

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GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning

Aug 30, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal


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Distilling On-Device Intelligence at the Network Edge

Aug 16, 2019
Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis

* 7 pages, 6 figures; This work has been submitted to the IEEE for possible publication 

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Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

Aug 06, 2019
Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis


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Federated Reinforcement Distillation with Proxy Experience Memory

Jul 15, 2019
Han Cha, Jihong Park, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis

* To be presented at the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML'19), Macao, China 

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