Efficiency with Federated Multi-Agent Deep Reinforcement Learning
G Anitha, A Jegatheesan - Handbook on Federated Learning …, 2023 - books.google.com
The development of the Internet of Things (IoT) has led to a rise in the adoption of V2X
connections, allowing for more effective communication and processing. Agents in vehicles …
connections, allowing for more effective communication and processing. Agents in vehicles …
Edge Computing Task Unloading Decision Optimization Algorithm Based on Deep Reinforcement Learning
Y Kong, Y Li, J Wang, S Yin - China Conference on Wireless Sensor …, 2023 - Springer
Abstract Mobile Edge Computing (MEC) is used to enhance the data processing capability
of low-power networks and has now become an efficient computing paradigm. In this paper …
of low-power networks and has now become an efficient computing paradigm. In this paper …
Intelligent Service Provisioning in Fog Computing
GF Pittalà, W Cerroni - 2023 IEEE 9th International Conference …, 2023 - ieeexplore.ieee.org
Fog computing is a distributed paradigm that extends cloud computing closer to the edge of
the network, and even beyond that. By employing local resources, it enables quicker and …
the network, and even beyond that. By employing local resources, it enables quicker and …
Edge Clustering and Communication Efficiency with GNNs in Internet of Vehicles
J Graham, A Medico, R Dividino… - … Conference on Wireless …, 2023 - Springer
Vehicular edge networks are pivotal in delivering services and applications that rely heavily
on efficient resource allocation. Various strategies utilize intelligence, prediction …
on efficient resource allocation. Various strategies utilize intelligence, prediction …
Multi-Task Computation Offloading based on Vehicular Blockchain
Z Meng, C Liu, G Ren, J Wan… - 2023 5th International …, 2023 - ieeexplore.ieee.org
With the increase of vehicular applications, which aimed at improving traffic safety and
driving experience, the limited computing resources of vehicles face the challenge of the …
driving experience, the limited computing resources of vehicles face the challenge of the …
Fuzzy-Based Dynamic Priority-Driven Allocation for Internet of Vehicles
M Ehsan, RI Meneguette… - 2023 19th International …, 2023 - ieeexplore.ieee.org
Vehicle Fog Computing (VFC) enables enhancing a vehicle's processing capabilities and
providing support services and applications for intelligent transportation. VFC has become …
providing support services and applications for intelligent transportation. VFC has become …
Dynamic Deployment of DNN Inference Tasks Based on Distributed Proximal Policy Optimization
W He, Y Li, L Wang - International Artificial Intelligence Conference, 2023 - Springer
With the widespread adoption of edge computing, Deep Neural Networks (DNN) inference
tasks are gradually deployed on edge computing nodes. The inference and decision-making …
tasks are gradually deployed on edge computing nodes. The inference and decision-making …
Priority-Based Resource Allocation Model for Vehicular Fog Computing
M Ehsan - 2023 - dr.library.brocku.ca
Vehicle Fog Computing (VFC) provides opportunities to enhance a vehicle's processing
capability as well as support services and applications for intelligent transportation. Due to …
capability as well as support services and applications for intelligent transportation. Due to …
[引用][C] Research on Distributed V2V Computing Offloading Method for Internet of Vehicles Blockchain
M Zhen, REN Guanyu, WAN Jianxiong, LI Leixiao - Journal of Frontiers of Computer …, 2023