Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing

Published:2023 Issue: Volume: Page:3-26
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Wu Qiong,Wang Siyuan,Fan Pingyi,Fan Qiang

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3581-9_1

Reference48 articles.

1. Xu, X., Li, H., Xu, W., Liu, Z., Yao, L., Dai, F.: Artificial intelligence for edge service optimization in Internet of Vehicles: a survey. Tsinghua Sci. Technol. 27(2), 270–287 (2022)

2. Wu, Q., Liu, H., Zhang, C., Fan, Q., Li, Z., Wang, K.: Trajectory protection schemes based on a gravity mobility model in loT. Electronics 8(2), 148 (2019)

3. Fan, J., Yin, S., Wu, Q., Gao, F.: Study on Refined Deployment of Wireless Mesh Sensor Network, In: 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), Chengdu, China, pp. 1–5 (2010)

4. Fan, J., Wu, Q., Hao, J.: Optimal deployment of wireless mesh sensor networks based on Delaunay triangulations, In: 2010 International Conference on Information, Networking and Automation (ICINA), Kunming, China, pp. 370–374 (2010)

5. Wu, Q., Ge, H., Fan, P., Wang, J., Fan, Q., Li, Z.: Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance. IEEE Trans. Veh. Technol. 69(12), 15760–15773 (2020)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Resource Allocation-Enabled Distributed Learning as a Service for Vehicular Networks;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. A state-of-the-art on federated learning for vehicular communications;Vehicular Communications;2024-02

3. Hybrid Machine Learning Approach for Resource Allocation of Digital Twin in UAV-aided Internet-of-Vehicles Networks;IEEE Transactions on Intelligent Vehicles;2023