Rui Song

Orcid: 0000-0001-7359-1081

Affiliations:
  • Technical University of Munich, TUM, Chair of Robotics, Artificial Intelligence and Real-time Systems, Garching, Germany
  • Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Ingolstadt, Germany


According to our database1, Rui Song authored at least 14 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals.
IEEE Internet Things J., March, 2024

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems.
IEEE Trans. Intell. Veh., January, 2024

TUMTraf V2X Cooperative Perception Dataset.
CoRR, 2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles.
CoRR, 2024

2023
Residual encoding framework to compress DNN parameters for fast transfer.
Knowl. Based Syst., October, 2023

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection.
CoRR, 2023

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems.
CoRR, 2023

Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach.
IEEE Access, 2023

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals.
CoRR, 2022

Edge-Aided Sensor Data Sharing in Vehicular Communication Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Intelligent Roadside Infrastructure for Connected Mobility.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022

Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022


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