V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

19 May 2023

Papers citing "V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection"

5 / 5 papers shown

Title
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception Sishuo Liu Chen Gao Yuan-Hsin Chen Xingyu Peng Xianghao Kong ... Runsheng Xu Wentao Jiang Hao Xiang Jiaqi Ma Miao Wang 30 39 0 31 Aug 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 27 73 0 21 Aug 2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception Runsheng Xu Xin Xia Jinlong Li Hanzhao Li Shuo Zhang ... Xiaoyu Dong Rui Song Hongkai Yu Bolei Zhou Jiaqi Ma 59 146 0 14 Mar 2023
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps Yue Hu Shaoheng Fang Zixing Lei Yiqi Zhong Siheng Chen 61 222 0 26 Sep 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer Runsheng Xu Hao Xiang Zhengzhong Tu Xin Xia Ming-Hsuan Yang Jiaqi Ma ViT 101 356 0 20 Mar 2022