Kang, Jiawen

Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

Li, Z., Kang, J., Yu, R., Ye, D., Deng, Q., & Zhang, Y. (2017) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecuritySmart Grid Energy Management

Cited by 1,103

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

Liu, Y., Yu, J. J. Q., Kang, J., Niyato, D., & Zhang, S. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataTraffic Prediction and Management Techniques

Cited by 712

Reliable Federated Learning for Mobile Networks

Kang, J., Xiong, Z., Niyato, D., Zou, Y., Zhang, Y., & Guizani, M. (2020) · IEEE Wireless Communications

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 617

Toward secure blockchain-enabled internet of vehicles: optimizing consensus management using reputation and contract theory

Kang, J., Xiong, Z., Niyato, D., Ye, D., Kim, D. I., & Zhao, J. (2019) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 604

A Secure Federated Learning Framework for 5G Networks

Liu, Y., Peng, J., Kang, J., Iliyasu, A. M., Niyato, D., & El-Latif, A. A. A. (2020) · IEEE Wireless Communications

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 290

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

Kang, J., Xiong, Z., Niyato, D., Yu, H., Liang, Y.-C., & Kim, D. I. (2019) · 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)

Privacy-Preserving Technologies in DataAdvanced MIMO Systems Optimization

Cited by 255

Interactive AI With Retrieval-Augmented Generation for Next Generation Networking

Zhang, R., Du, H., Liu, Y., Niyato, D., Kang, J., Sun, S., Shen, X., & Poor, H. V. (2024) · IEEE Network

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 147

Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition

Xie, K., Zhang, Z., Li, B., Kang, J., Niyato, D., Xie, S., & Wu, Y. (2022) · IEEE Transactions on Vehicular Technology

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 128

Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning

Kang, J., Xiong, Z., Li, X., Zhang, Y., Niyato, D., Leung, C., & Miao, C. (2021) · IEEE Transactions on Vehicular Technology

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 81

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

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