Title | Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification |
Author | |
Publication Years | 2023-05
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DOI | |
Source Title | |
ISSN | 1558-156X
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Volume | 37Issue:3Pages:16-25 |
Keywords | |
URL | [Source Record] |
Indexed By | |
SUSTech Authorship | Others
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WOS Accession No | WOS:001088198200006
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ESI Research Field | COMPUTER SCIENCE
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9982368 |
Citation statistics |
Cited Times [WOS]:4
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559288 |
Affiliation | 1.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China 2.Hong Kong University of Science and Technology, Guangzhou, China 3.University of New South Wales, Australia 4.Weizmann Institute of Science, Israel 5.Princeton University, USA 6.Southern University of Science and Technology, China 7.IOTSC, University of Macau, China |
Recommended Citation GB/T 7714 |
Shuai Wang,Chengyang Li,Derrick Wing Kwan Ng,et al. Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification[J]. IEEE Network,2023,37(3):16-25.
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APA |
Shuai Wang.,Chengyang Li.,Derrick Wing Kwan Ng.,Yonina C. Eldar.,H. Vincent Poor.,...&Chengzhong Xu.(2023).Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification.IEEE Network,37(3),16-25.
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MLA |
Shuai Wang,et al."Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification".IEEE Network 37.3(2023):16-25.
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