Federated Learning in Intelligent Transportation Systems: Recent
Applications and Open Problems

Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems

20 September 2023

Jun Li

Ming Ding

Papers citing "Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems"

4 / 4 papers shown

Title
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 40 10 0 07 May 2024
Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles Md Ferdous Pervej Jianlin Guo Kyeong Jin Kim Kieran Parsons P. Orlik Stefano Di Cairano Marcel Menner K. Berntorp Yukimasa Nagai H. Dai 20 11 0 17 May 2022
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 47 149 0 18 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 135 1,599 0 02 Feb 2020