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 for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
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) …
Heuristic-based image stitching algorithm with automation of parameters for smart solutions
The analysis of two-dimensional images enables the detection of structures, objects and
their further classification. In the Internet of Things, images are data obtained from cameras …
their further classification. In the Internet of Things, images are data obtained from cameras …
[HTML][HTML] Data privacy and security in autonomous connected vehicles in smart city environment
T Alam - Big Data and Cognitive Computing, 2024 - mdpi.com
A self-driving vehicle can navigate autonomously in smart cities without the need for human
intervention. The emergence of Autonomous Connected Vehicles (ACVs) poses a …
intervention. The emergence of Autonomous Connected Vehicles (ACVs) poses a …
[HTML][HTML] Cybersecurity in Autonomous Vehicles—Are We Ready for the Challenge?
The rapid development and deployment of autonomous vehicles (AVs) present
unprecedented opportunities and challenges in the transportation sector. While AVs promise …
unprecedented opportunities and challenges in the transportation sector. While AVs promise …
Performance analysis of blockchain-enabled security and privacy algorithms in connected and autonomous vehicles: a comprehensive review
Strategic investment (s) in vehicle automation technologies led to the rapid development of
technology that revolutionised transport services and reduced fatalities on a scale never …
technology that revolutionised transport services and reduced fatalities on a scale never …
Traffic sign classification for autonomous vehicles using split and federated learning underlying 5g
By enabling self-driving capabilities, autonomous vehicles (AVs) are revolutionizing
transportation. Artificial intelligence (AI) integrating with AVs improves their perception …
transportation. Artificial intelligence (AI) integrating with AVs improves their perception …
A secure object detection technique for intelligent transportation systems
Federated Learning is a decentralized machine learning technique that creates a global
model by aggregating local models from multiple edge devices without a need to access the …
model by aggregating local models from multiple edge devices without a need to access the …
Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G
In recent years, smart healthcare, artificial intelligence (AI)‐aided diagnostics, and
automated surgical robots are just a few of the innovations that have emerged and gained …
automated surgical robots are just a few of the innovations that have emerged and gained …