Hossain, Ekram

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

5G cellular: key enabling technologies and research challenges

Hossain, E., & Hasan, M. (2015) · IEEE Instrumentation & Measurement Magazine

Advanced MIMO Systems OptimizationTelecommunications and Broadcasting Technologies

Cited by 601

Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks

Thilina, K. M., Choi, K. W., Saquib, N., & Hossain, E. (2013) · IEEE Journal on Selected Areas in Communications

Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification

Cited by 432

Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

Feriani, A., & Hossain, E. (2021) · IEEE Communications Surveys & Tutorials

Reinforcement Learning in RoboticsAdvanced Wireless Network Optimization

Cited by 410

Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey

Wan, Y., Qu, Y., Ni, W., Xiang, Y., Gao, L., & Hossain, E. (2024) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 152

Machine Learning in IoT Security: Current Solutions and Future Challenges

Hussain, F., Hussain, R., Hassan, S. A., & Hossain, E. (2020) · IEEE Communications Surveys & Tutorials

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 129

The D-OMA Method for Massive Multiple Access in 6G: Performance, Security, and Challenges

Al-Eryani, Y., & Hossain, E. (2019) · IEEE Vehicular Technology Magazine

Advanced Wireless Communication TechnologiesPAPR reduction in OFDM

Cited by 116