High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks-Reference-Cited by-同舟云学术

High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks

Published:2023-03 Issue:3 Volume:20 Page:1-17
ISSN:1673-5447
Container-title:China Communications
language:
Short-container-title:China Commun.

Author:

Wu Qiong¹,Wang Xiaobo²,Fan Qiang³,Fan Pingyi⁴,Zhang Cui⁵,Li Zhengquan⁶

Affiliation:

1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Integrated Services Networks (Xidian University), Xi'an 710071, China

2. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

3. Qualcomm, San Jose CA 95110, USA

4. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China

5. Banma Network Technology Co., Ltd., Shanghai 200000, China

6. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China; Jiangsu Future Networks Innovation Institute, Nanjing 211111, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/6245522/10091918/10091897.pdf?arnumber=10091897

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