Federated Deep Learning Meets Autonomous Vehicle Perception: Design and
Verification

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Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

3 June 2022

Derrick Wing Kwan Ng

Yonina C. Eldar

H. Vincent Poor

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Papers citing "Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification"

17 / 17 papers shown

Title
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 82 0 0 03 Mar 2025
Personalized Federated Learning for Cross-view Geo-localization Christos Anagnostopoulos Alexandros Gkillas Nikos Piperigkos Aris Lalos FedML 64 0 0 07 Nov 2024
Multi-Uncertainty Aware Autonomous Cooperative Planning Shiyao Zhang He Li Shanghang Zhang Shuai Wang Derrick Wing Kwan Ng Chengzhong Xu 63 1 0 01 Nov 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou Qingfeng Lin Ming Tang Shuai Wang Guangxu Zhu Yik-Chung Wu 75 4 0 01 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur Soumaya Cherkaoui 103 3 0 05 Jun 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 121 12 0 07 May 2024
Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving He Li Ruihua Han Zirui Zhao Wei Xu Qi Hao Shuai Wang Chengzhong Xu 59 4 0 06 Mar 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 112 1 0 23 Jan 2024
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges Wei Chen Tao Huang Xi Zhou Dinh C. Nguyen M. R. Azghadi Yuxuan Xia Qing-Long Han Sumei Sun 131 41 0 05 Oct 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 125 87 0 21 Aug 2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving Weihua Kou Shuai Wang Guangxu Zhu Bin Luo Yingxian Chen Derrick Wing Kwan Ng Yik-Chung Wu 76 13 0 28 Jun 2023
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning Lexiong Huang Ruihua Han Guoliang Li He Li Shuai Wang Yang Wang Chengzhong Xu 60 0 0 23 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 102 14 0 10 May 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois Knoll FedML 108 26 0 04 Apr 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 76 37 0 19 Mar 2023
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty Zongze Li Shuai Wang Shiyao Zhang Miaowen Wen Kejiang Ye Yik-Chung Wu Derrick Wing Kwan Ng 27 7 0 13 Dec 2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning Qiong Wu Yu Zhao Nan Cheng Pingyi Fan Jiangzhou Wang Cui Zhang 65 130 0 02 Aug 2022