题名 | FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting |
作者 | |
发表日期 | 2021-12
|
DOI | |
发表期刊 | |
ISSN | 1941-0050
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卷号 | 17期号:12页码:8464-8474 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 第一
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EI入藏号 | 20210609896573
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EI主题词 | Data privacy
; Forecasting
; Graph structures
; Intelligent systems
; Intelligent vehicle highway systems
; Matrix algebra
; Network architecture
; Neural networks
; Speed
; Topology
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EI分类号 | Artificial Intelligence:723.4
; Computer Applications:723.5
; Algebra:921.1
; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9340313 |
引用统计 |
被引频次[WOS]:63
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/221832 |
专题 | 南方科技大学 工学院_计算机科学与工程系 |
作者单位 | 1.Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China, 518055 (e-mail: zhangch@mail.sustech.edu.cn) 2., ShenZhen, China, 518055 (e-mail: 11712122@mail.sustech.edu.cn) 3.Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China, 518055 (e-mail: yujq3@sustech.edu.cn) 4., Ultimo, United States, 2007 (e-mail: shui.yu@uts.edu.au) |
第一作者单位 | 南方科技大学 |
第一作者的第一单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
Zhang,Chenhan,Zhang,Shuyu,Yu,James J.Q.,et al. FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting[J]. IEEE Transactions on Industrial Informatics,2021,17(12):8464-8474.
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APA |
Zhang,Chenhan,Zhang,Shuyu,Yu,James J.Q.,&Yu,Shui.(2021).FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting.IEEE Transactions on Industrial Informatics,17(12),8464-8474.
|
MLA |
Zhang,Chenhan,et al."FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting".IEEE Transactions on Industrial Informatics 17.12(2021):8464-8474.
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条目包含的文件 | 条目无相关文件。 |
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