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A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.

, , , и . MORSE@MobiCom, стр. 7-12. ACM, (2022)

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Andreas Mavromatis

Fedon Mavromatis

Vasileios Mavromatis

Elefterios Mavromatis

Ioannis Tzamichas

 

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On Urban Traffic Flow Benefits of Connected and Automated Vehicles., , , и . VTC Spring, стр. 1-7. IEEE, (2020)A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges., , , и . MORSE@MobiCom, стр. 7-12. ACM, (2022)A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges., , , и . ADHOC-NOW, том 11104 из Lecture Notes in Computer Science, стр. 53-63. Springer, (2018)Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed., , и . PerCom Workshops, стр. 787-792. IEEE, (2024)FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation., , , , и . CSCN, стр. 195-201. IEEE, (2023)UMBRELLA Collaborative Robotics Testbed and IoT Platform., , , , , , , , и . CCNC, стр. 1-7. IEEE, (2021)Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework., и . CCNC, стр. 917-918. IEEE, (2023)Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights., , , , и . CoRR, (2018)Location Anomalies Detection for Connected and Autonomous Vehicles., , , , и . CAVS, стр. 1-5. IEEE, (2019)Federated Deep Learning for Intrusion Detection in IoT Networks., , , , , и . GLOBECOM, стр. 237-242. IEEE, (2023)