Niyato, Dusit

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

Nguyen, H. T., Cong Luong, N., Zhao, J., Yuen, C., & Niyato, D. (2020) · 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 75

Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach

Lee, J., Kim, D., & Niyato, D. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 60

Blockchains for Artificial Intelligence of Things: A Comprehensive Survey

Shen, M., Gu, A., Kang, J., Tang, X., Lin, X., Zhu, L., & Niyato, D. (2023) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 54

Toward Smart Security Enhancement of Federated Learning Networks

Tan, J., Liang, Y.-C., Luong, N. C., & Niyato, D. (2021) · IEEE Network

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 42

Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking

Zhang, R., Tang, S., Liu, Y., Niyato, D., Xiong, Z., Sun, S., Mao, S., & Han, Z. (2025) · arXiv

Information Retrieval and Search BehaviorSoftware-Defined Networks and 5G

Cited by 40

Flexible Intelligent Metasurfaces for Enhancing MIMO Communications

An, J., Han, Z., Niyato, D., Debbah, M., Yuen, C., & Hanzo, L. (2025) · IEEE Transactions on Communications

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface Technologies

Cited by 34

Digital twin for wireless networks: security attacks and solutions

Wang, W., Yang, Y., Khan, L. U., Niyato, D., Han, Z., & Guizani, M. (2024) · IEEE Wireless Communications

Smart Grid Security and ResilienceAdversarial Robustness in Machine Learning

Cited by 30

Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Hieu, N. Q., Anh, T. T., Luong, N. C., Niyato, D., Kim, D. I., & Elmroth, E. (2020) · arXiv

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 23

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Luong, N. C., Hoang, D. T., Gong, S., Niyato, D., Wang, P., Liang, Y.-C., & Kim, D. I. (2018) · arXiv

Reinforcement Learning in RoboticsSoftware-Defined Networks and 5G

Cited by 17

Secure and Efficient Coded Multi-Access Edge Computing With Generalized Graph Neural Networks

Asheralieva, A., & Niyato, D. (2023) · IEEE Transactions on Mobile Computing

IoT and Edge/Fog ComputingCryptography and Data Security

Cited by 15

Sparse attention-driven quality prediction for production process optimization in digital twins

Yin, Y., Wang, L., Thai Hoang, D., Wang, W., & Niyato, D. (2024) · IEEE Internet of Things Journal

Digital Transformation in IndustryFault Detection and Control Systems

Cited by 14

Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study

Liu, Y., Du, H., Niyato, D., Kang, J., Xiong, Z., Wen, Y., & Kim, D. I. (2026) · IEEE Network

Software-Defined Networks and 5GCloud Computing and Resource Management

Cited by 10