Federated Learning for Object Detection in Autonomous Vehicles-Reference-Cited by-同舟云学术

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Federated Learning for Object Detection in Autonomous Vehicles

Published:2021-08 Issue: Volume: Page:
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Container-title:2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService)
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Author:

Jallepalli Deepthi,Ravikumar Navya Chennagiri,Badarinath Poojitha Vurtur,Uchil Shravya,Suresh Mahima Agumbe

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9564289/9564092/09564384.pdf?arnumber=9564384

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges;Future Generation Computer Systems;2024-12

2. Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks;2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet);2024-06-11

3. Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography;Lecture Notes in Computer Science;2024

5. FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications;IEEE Open Journal of Intelligent Transportation Systems;2024

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