Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Mehdi Bennis

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs


Oct 04, 2021
Beatriz Soret, Lam D. Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, Petar Popovski

* Submitted to publication, 31 pages, 9 figures 

  Access Paper or Ask Questions

Federated Distributionally Robust Optimization for Phase Configuration of RISs


Aug 20, 2021
Chaouki Ben Issaid, Sumudu Samarakoon, Mehdi Bennis, H. Vincent Poor

* 6 pages, 2 figures 

  Access Paper or Ask Questions

Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT


Aug 17, 2021
Chen-Feng Liu, Mehdi Bennis

* Accepted in WiOpt 2021 with 6 pages, 5 figures, and 2 tables 

  Access Paper or Ask Questions

Semantics-Native Communication with Contextual Reasoning


Aug 12, 2021
Hyowoon Seo, Jihong Park, Mehdi Bennis, Mérouane Debbah

* 18 pages, 16 figures, invited and submitted for possible publication 

  Access Paper or Ask Questions

Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning


Jun 12, 2021
Madhusanka Manimel Wadu, Sumudu Samarakoon, Mehdi Bennis

* arXiv admin note: text overlap with arXiv:2002.00802 

  Access Paper or Ask Questions

Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation


Jun 02, 2021
Mounssif Krouka, Anis Elgabli, Chaouki ben Issaid, Mehdi Bennis


  Access Paper or Ask Questions

Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels


Jun 02, 2021
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis


  Access Paper or Ask Questions

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent


May 31, 2021
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal


  Access Paper or Ask Questions

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication


May 22, 2021
Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis


  Access Paper or Ask Questions

Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations


May 04, 2021
Sumudu Samarakoon, Jihong Park, Mehdi Bennis

* 5 pages, 5 figures, conference: The 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2021) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions