Federated reinforcement learning: Techniques, applications, and open challenges
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL),
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
Vehicular cooperative perception through action branching and federated reinforcement learning
Cooperative perception plays a vital role in extending a vehicle's sensing range beyond its
line-of-sight. However, exchanging raw sensory data under limited communication …
line-of-sight. However, exchanging raw sensory data under limited communication …
Joint perception data caching and computation offloading in MEC-enabled vehicular networks
B Li, R Wu - Computer Communications, 2023 - Elsevier
The accelerated use of intelligent vehicles and the advancement of self-driving technologies
have posed significant problems to the provision of real-time vehicular services, such as …
have posed significant problems to the provision of real-time vehicular services, such as …
Perception data fusion-based computation offloading in cooperative vehicle infrastructure systems
With the rapid advancement of intelligent transportation systems, cooperative vehicle
infrastructure systems emerge as a vital frontier for development. Real-time mutual fusion of …
infrastructure systems emerge as a vital frontier for development. Real-time mutual fusion of …
Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence
Fifth‐generation (5G) technology is one of the keys to the Industrial Revolution known as
Industry 4.0 as it provides faster connectivity and allows a greater number of devices to be …
Industry 4.0 as it provides faster connectivity and allows a greater number of devices to be …