Saad, Walid

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 Joint Learning and Communications Framework for Federated Learning over Wireless Networks

Chen, M., Yang, Z., Saad, W., Yin, C., Poor, H. V., & Cui, S. (2019) · arXiv

Privacy-Preserving Technologies in DataAdvanced Wireless Network Optimization

Cited by 1,547

A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

Chen, M., Yang, Z., Saad, W., Yin, C., Poor, H. V., & Cui, S. (2021) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataAdvanced Wireless Network Optimization

Cited by 1,547

Energy Efficient Federated Learning Over Wireless Communication Networks

Yang, Z., Chen, M., Saad, W., Hong, C. S., & Shikh-Bahaei, M. (2021) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 1,153

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

Khan, L. U., Saad, W., Han, Z., Hossain, E., & Hong, C. S. (2021) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 892

Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

Chen, M., Mozaffari, M., Saad, W., Yin, C., Debbah, M., & Hong, C. S. (2017) · IEEE Journal on Selected Areas in Communications

UAV Applications and OptimizationCaching and Content Delivery

Cited by 742

6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., & Poor, H. V. (2022) · Proceedings of the IEEE

Vehicular Ad Hoc Networks (VANETs)Advanced Wireless Communication Technologies

Cited by 737

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Khan, L. U., Pandey, S. R., Tran, N. H., Saad, W., Han, Z., Nguyen, M. N. H., & Hong, C. S. (2020) · IEEE Communications Magazine

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 506

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

Convergence Time Optimization for Federated Learning Over Wireless Networks

Chen, M., Poor, H. V., Saad, W., & Cui, S. (2021) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataAdvanced Wireless Network Optimization

Cited by 403

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

Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects

Jung, M., Saad, W., Jang, Y., Kong, G., & Choi, S. (2020) · IEEE Transactions on Wireless Communications

Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and Modeling

Cited by 242

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

Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

Chen, M., Saad, W., & Yin, C. (2019) · IEEE Transactions on Wireless Communications

UAV Applications and OptimizationCaching and Content Delivery

Cited by 176

Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users

Chen, M., Saad, W., Yin, C., & Debbah, M. (2017) · IEEE Transactions on Wireless Communications

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 176

Deep learning for signal authentication and security in massive internet-of-things systems

Ferdowsi, A., & Saad, W. (2019) · IEEE Transactions on Communications

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 160

Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks

Hu, Y., Chen, M., Saad, W., Poor, H. V., & Cui, S. (2021) · IEEE Journal on Selected Areas in Communications

UAV Applications and OptimizationReinforcement Learning in Robotics

Cited by 152

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

Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning

Zeng, T., Guo, J., Kim, K. J., Parsons, K., Orlik, P., Di Cairano, S., & Saad, W. (2021) · 2021 IEEE Intelligent Vehicles Symposium (IV)

Traffic Prediction and Management TechniquesPrivacy-Preserving Technologies in Data

Cited by 49

Causal reasoning: Charting a revolutionary course for next-generation AI-native wireless networks

Thomas, C. K., Chaccour, C., Saad, W., Debbah, M., & Hong, C. S. (2024) · IEEE Vehicular Technology Magazine

Advanced Wireless Communication TechnologiesSoftware-Defined Networks and 5G

Cited by 46

3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning

Hassan, S. S., Min Park, Y., Tun, Y. K., Saad, W., Han, Z., & Hong, C. S. (2022) · ICC 2022 - IEEE International Conference on Communications

UAV Applications and OptimizationAdvanced Wireless Communication Technologies

Cited by 34

Federated Learning for Energy-Efficient Task Computing in Wireless Networks

Wang, S., Chen, M., Saad, W., & Yin, C. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 33

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

Federated Deep Learning for Immersive Virtual Reality over Wireless Networks

Chen, M., Semiari, O., Saad, W., Liu, X., & Yin, C. (2019) · 2019 IEEE Global Communications Conference (GLOBECOM)

Virtual Reality Applications and ImpactsIoT and Edge/Fog Computing

Cited by 19