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 …
Federated learning for connected and automated vehicles: A survey of existing approaches and challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
Federated learning in intelligent transportation systems: Recent applications and open problems
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …
communication technologies, sensor technologies, and the Internet of Things (IoT) …
Federated learning for vehicular internet of things: Recent advances and open issues
Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …
purpose of collaborative learning from a large amount of data that belong to different parties …
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 …
Joint resource management for mobility supported federated learning in Internet of Vehicles
G Wang, F Xu, H Zhang, C Zhao - Future Generation Computer Systems, 2022 - Elsevier
In recent years, the powerful combination of Multi-access Edge Computing (MEC) and
Artificial Intelligence (AI), called edge intelligence, promotes the development of Intelligent …
Artificial Intelligence (AI), called edge intelligence, promotes the development of Intelligent …
Machine learning-based Road Safety Prediction Strategies for Internet of vehicles (IoV) enabled vehicles: A systematic literature review
KR Reddy, A Muralidhar - IEEE Access, 2023 - ieeexplore.ieee.org
This systematic literature review aims to investigate the current state-of-the-art in machine
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
Integration of digital twin and federated learning for securing vehicular internet of things
In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in
enabling smart connected environments. This includes various domains such as smart …
enabling smart connected environments. This includes various domains such as smart …
Clustered vehicular federated learning: Process and optimization
Federated Learning (FL) is expected to play a prominent role for privacy-preserving machine
learning (ML) in autonomous vehicles. FL involves the collaborative training of a single ML …
learning (ML) in autonomous vehicles. FL involves the collaborative training of a single ML …
Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles
The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …