Federated Intelligence for Intelligent Vehicles-Reference-Cited by-同舟云学术

Federated Intelligence for Intelligent Vehicles

Published:2024-05 Issue:5 Volume:9 Page:4835-4839
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Zhang Weishan¹^ORCID,Zhang Baoyu¹^ORCID,Jia Xiaofeng²,Qi Hongwei³,Qin Rui⁴^ORCID,Li Juanjuan⁴^ORCID,Tian Yonglin⁴^ORCID,Liang Xiaolong⁵^ORCID,Wang Fei-Yue⁶^ORCID

Affiliation:

1. School of China University of Petroleum, Qingdao, China

2. Department of Data Management, Beijing Big Data Centre, Beijing, China

3. Datatang (Beijing) Technology Company, Ltd., Beijing, China

4. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

5. Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, China

6. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7274857/10613449/10559450.pdf?arnumber=10559450

Reference37 articles.

1. ChatGPT for Computational Social Systems: From Conversational Applications to Human-Oriented Operating Systems

2. Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence

3. Parallel Intelligence in CPSSs: Being, Becoming, and Believing

4. Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving

5. Federated Data: Toward New Generation of Credible and Trustable Artificial Intelligence