Author of the publication

FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction.

, , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (8): 8738-8748 (August 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

High-throughput and energy-efficient data gathering in heterogeneous multi-channel wireless sensor networks using genetic algorithm., , , and . Ad Hoc Networks, (2023)FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification., , and . SMARTCOMP, page 206-212. IEEE, (2022)Enhancing Task Efficiency in Vehicular Fog Computing: Leveraging Mobility Prediction and Min-Max Optimization for Reduced Latency., and . VTC Fall, page 1-7. IEEE, (2023)Session details: Workshop: DFSD.. EWSN, ACM, (2019)Digital Twins for Manufacturing Using UML and Behavioral Specifications., , and . ETFA, page 1035-1038. IEEE, (2020)A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges., , , and . DFSD@Middleware, page 1-6. ACM, (2019)Hybrid Context-aware Message Flooding for Dead Spot Mitigation in V2I Communication., , and . VTC Fall, page 1-7. IEEE, (2020)Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks., , , and . FlexNets@SIGCOMM, page 38-43. ACM, (2021)A Prediction Based Resource Reservation Algorithm for Service Handover in Edge Computing., , and . CSCloud/EdgeCom, page 330-335. IEEE, (2023)Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities., , , , and . ICA3PP (2), volume 12453 of Lecture Notes in Computer Science, page 230-244. Springer, (2020)