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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
Shiying Zhang
Jun Li
Long Shi
Ming Ding
Dinh C. Nguyen
Wuzheng Tan
Jian Weng
Zhu Han
ArXivPDFHTML

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

11 / 11 papers shown
Title
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Yong-Jin Liu
29
0
0
10 May 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
Nazmul Islam
Mohammad Zulkernine
47
0
0
03 Mar 2025
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical
  Federated Learning in Autonomous Driving
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Rongguang Ye
Shuai Wang
Guangxu Zhu
Yik-Chung Wu
32
4
0
29 Sep 2024
A survey on secure decentralized optimization and learning
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
58
3
0
16 Aug 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
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
57
12
0
07 May 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via
  Layer-Wise Model Updates
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang
Alejandro Cohen
Nir Shlezinger
FedML
58
4
0
27 Mar 2024
Enhancing Privacy in Federated Learning through Local Training
Enhancing Privacy in Federated Learning through Local Training
Nicola Bastianello
Changxin Liu
Karl H. Johansson
51
2
0
26 Mar 2024
Convergence Acceleration in Wireless Federated Learning: A Stackelberg
  Game Approach
Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach
Kaidi Wang
Yi Ma
Mahdi Boloursaz Mashhadi
C. Foh
Rahim Tafazolli
Z. Ding
FedML
58
11
0
14 Sep 2022
Mobility, Communication and Computation Aware Federated Learning for
  Internet of Vehicles
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
44
11
0
17 May 2022
Blockchain Assisted Decentralized Federated Learning (BLADE-FL):
  Performance Analysis and Resource Allocation
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
69
150
0
18 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
171
1,642
0
02 Feb 2020
1