Yu, James J. Q.

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

FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting

Zhang, C., Zhang, S., Yu, J. J. Q., & Yu, S. (2021) · IEEE Transactions on Industrial Informatics

Traffic Prediction and Management TechniquesPrivacy-Preserving Technologies in Data

Cited by 194

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories

Zhu, Y., Liu, Y., Yu, J. J. Q., & Yuan, X. (2022) · IEEE Transactions on Intelligent Transportation Systems

Privacy-Preserving Technologies in DataHuman Mobility and Location-Based Analysis

Cited by 79

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach

Zhu, Y., Ye, Y., Liu, Y., & Yu, J. J. Q. (2022) · IEEE Transactions on Intelligent Transportation Systems

Traffic Prediction and Management TechniquesTransportation Planning and Optimization

Cited by 35

Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning

Zhang, C., Zhang, S., Yu, S., & Yu, J. J. Q. (2022) · 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Privacy-Preserving Technologies in DataTraffic Prediction and Management Techniques

Cited by 28