Hu, Jia

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

Mills, J., Hu, J., & Min, G. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 436

Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

Yu, Z., Hu, J., Min, G., Zhao, Z., Miao, W., & Hossain, M. S. (2021) · IEEE Transactions on Intelligent Transportation Systems

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 332

Federated Learning Based Proactive Content Caching in Edge Computing

Yu, Z., Hu, J., Min, G., Lu, H., Zhao, Z., Wang, H., & Georgalas, N. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM)

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 140

Heterogeneous Blockchain and AI-Driven Hierarchical Trust Evaluation for 5G-Enabled Intelligent Transportation Systems

Wang, X., Garg, S., Lin, H., Kaddoum, G., Hu, J., & Hassan, M. M. (2021) · IEEE Transactions on Intelligent Transportation Systems

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 87

AI-Empowered Trajectory Anomaly Detection for Intelligent Transportation Systems: A Hierarchical Federated Learning Approach

Wang, X., Liu, W., Lin, H., Hu, J., Kaur, K., & Hossain, M. S. (2023) · IEEE Transactions on Intelligent Transportation Systems

Anomaly Detection Techniques and ApplicationsData Management and Algorithms

Cited by 63

Toward Secure Data Fusion in Industrial IoT Using Transfer Learning

Lin, H., Hu, J., Wang, X., Alhamid, M. F., & Piran, M. J. (2021) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 53