Bennis, Mehdi

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,857

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

Saad, W., Bennis, M., & Chen, M. (2020) · IEEE Network

Advanced Wireless Communication TechnologiesSoftware-Defined Networks and 5G

Cited by 4,985

A Speculative Study on 6G

Tariq, F., Khandaker, M., Wong, K.-K., Imran, M., Bennis, M., & Debbah, M. (2019) · arXiv

Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and Modeling

Cited by 1,014

A Speculative Study on 6G

Tariq, F., Khandaker, M. R. A., Wong, K.-K., Imran, M. A., Bennis, M., & Debbah, M. (2020) · IEEE Wireless Communications

Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and Modeling

Cited by 1,014

Blockchained On-Device Federated Learning

Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2020) · IEEE Communications Letters

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 887

Blockchained On-Device Federated Learning

Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2018) · arXiv

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 882

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Jeong, E., Oh, S., Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2018) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 465

Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications

Samarakoon, S., Bennis, M., Saad, W., & Debbah, M. (2020) · IEEE Transactions on Communications

Vehicular Ad Hoc Networks (VANETs)Advanced Wireless Network Optimization

Cited by 459

Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing

Liu, C.-F., Bennis, M., Debbah, M., & Poor, H. V. (2019) · IEEE Transactions on Communications

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 435

A Crowdsourcing Framework for On-Device Federated Learning

Pandey, S. R., Tran, N. H., Bennis, M., Tun, Y. K., Manzoor, A., & Hong, C. S. (2020) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataMobile Crowdsensing and Crowdsourcing

Cited by 318

Big data caching for networking: moving from cloud to edge

Zeydan, E., Bastug, E., Bennis, M., Kader, M. A., Karatepe, I. A., Er, A. S., & Debbah, M. (2016) · IEEE Communications Magazine

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 310

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Mozaffari, M., Saad, W., Bennis, M., Nam, Y.-H., & Debbah, M. (2019) · IEEE Communications Surveys & Tutorials

UAV Applications and OptimizationMobile Ad Hoc Networks

Cited by 299

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

Zeng, T., Semiari, O., Mozaffari, M., Chen, M., Saad, W., & Bennis, M. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

UAV Applications and OptimizationPrivacy-Preserving Technologies in Data

Cited by 218

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

Savazzi, S., Nicoli, M., Bennis, M., Kianoush, S., & Barbieri, L. (2021) · IEEE Communications Magazine

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 181

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

Zeng, T., Semiari, O., Chen, M., Saad, W., & Bennis, M. (2022) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataTraffic control and management

Cited by 131

6G White Paper on Edge Intelligence

Peltonen, E., Bennis, M., Capobianco, M., Debbah, M., Ding, A., Gil-Castiñeira, F., Jurmu, M., Karvonen, T., Kelanti, M., Kliks, A., et al. (2020) · arXiv

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 118

Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Getu, T. M., Kaddoum, G., & Bennis, M. (2024) · Proceedings of the IEEE

Advanced Wireless Communication TechnologiesOptical Wireless Communication Technologies

Cited by 110

Wireless Network Intelligence at the Edge

Park, J., Samarakoon, S., Bennis, M., & Debbah, M. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 92

Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges

Liu, H., An, J., Jia, X., Gan, L., Karagiannidis, G. K., Clerckx, B., Bennis, M., Debbah, M., & Cui, T. J. (2024) · arXiv

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface Technologies

Cited by 57

Stacked Intelligent Metasurfaces for Task-Oriented Semantic Communications

Huang, G., An, J., Yang, Z., Gan, L., Bennis, M., & Debbah, M. (2025) · IEEE Wireless Communications Letters

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface Technologies

Cited by 39

Content Popularity Prediction in Fog Radio Access Networks: A Federated Learning Based Approach

Wu, Y., Jiang, Y., Bennis, M., Zheng, F., Gao, X., & You, X. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 29

Federated Learning for Ultra-Reliable Low-Latency V2V Communications

Samarakoon, S., Bennis, M., Saad, W., & Debbah, M. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM)

Vehicular Ad Hoc Networks (VANETs)Advanced Wireless Network Optimization

Cited by 25

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

Park, J., Samarakoon, S., Elgabli, A., Kim, J., Bennis, M., Kim, S.-L., & Debbah, M. (2021) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 25

Harnessing wireless channels for scalable and privacy-preserving federated learning

Elgabli, A., Park, J., Issaid, C. B., & Bennis, M. (2021) · IEEE Transactions on Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 14