Federated learning‐based trajectory prediction model with privacy preserving for intelligent vehicle
M Han, K Xu, S Ma, A Li, H Jiang - International Journal of …, 2022 - Wiley Online Library
The existing trajectory prediction is mainly for specific road sections, which is poor to adapt
to complex and changing traffic scenarios. Meanwhile, decentralized trajectory data is hard …
to complex and changing traffic scenarios. Meanwhile, decentralized trajectory data is hard …
[HTML][HTML] A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles
The application of artificial intelligence technology in Internet of Vehicles (IoV) has attracted
great research interests with the goal of enabling smart transportation and traffic …
great research interests with the goal of enabling smart transportation and traffic …
Bflp: An adaptive federated learning framework for internet of vehicles
Y Peng, Z Chen, Z Chen, W Ou… - Mobile Information …, 2021 - Wiley Online Library
Applications of Internet of Vehicles (IoV) make the life of human beings more intelligent and
convenient. However, in the present, there are some problems in IoV, such as data silos and …
convenient. However, in the present, there are some problems in IoV, such as data silos and …
Privacy-preserving deep learning model for decentralized vanets using fully homomorphic encryption and blockchain
In Vehicular Ad-hoc Networks (VANETs), privacy protection and data security during network
transmission and data analysis have attracted attention. In this paper, we apply deep …
transmission and data analysis have attracted attention. In this paper, we apply deep …
Enhanced federated learning for edge data security in intelligent transportation systems
Federated learning (FL) provides a promising solution to meet the requirements of data
privacy and security in intelligent transportation systems (ITS), which enables edge devices …
privacy and security in intelligent transportation systems (ITS), which enables edge devices …
Stfl: Spatio-temporal federated learning for vehicle trajectory prediction
Vehicle trajectory data is critical in the field of transportation. Its privacy needs to be
protected, but not much attention has been paid to this. Federated learning (FL) has …
protected, but not much attention has been paid to this. Federated learning (FL) has …
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …
transportation, information sharing, and traffic infrastructure management with the aim to …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …
Privacy-preserved federated learning for autonomous driving
Y Li, X Tao, X Zhang, J Liu, J Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, the privacy issue in Vehicular Edge Computing (VEC) has gained a lot of
concern. The privacy problem is even more severe in autonomous driving business than the …
concern. The privacy problem is even more severe in autonomous driving business than the …
Federated learning security and privacy-preserving algorithm and experiments research under internet of things critical infrastructure
NA Jalali, H Chen - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
The widespread use of the Internet of Things (IoTs) and the rapid development of artificial
intelligence technologies have enabled applications to cross commercial and industrial …
intelligence technologies have enabled applications to cross commercial and industrial …