题名 | Dynamic-Fusion-Based Federated Learning for COVID-19 Detection |
作者 | |
通讯作者 | Zhang, Weishan; Lu, Qinghua; Zhu, Chunsheng |
发表日期 | 2021-11-01
|
DOI | |
发表期刊 | |
ISSN | 2372-2541
|
卷号 | 8期号:21页码:15884-15891 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 通讯
|
EI入藏号 | 20210809935799
|
EI主题词 | Classification (of information)
; Diagnosis
; Efficiency
; Fault tolerance
; Image analysis
; Image enhancement
; Image fusion
; Machine learning
; Medical imaging
; Privacy by design
|
EI分类号 | Medicine and Pharmacology:461.6
; Information Theory and Signal Processing:716.1
; Data Processing and Image Processing:723.2
; Computer Applications:723.5
; Imaging Techniques:746
; Production Engineering:913.1
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9347454 |
引用统计 |
被引频次[WOS]:166
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/221816 |
专题 | 南方科技大学 未来网络研究院 |
作者单位 | 1.China Univ Petr East China, Coll Comp Sci & Technol, Qingdao 266580, Peoples R China 2.CSIRO, Data61, Sydney, NSW 2015, Australia 3.Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Southern Univ Sci & Technol, Inst Future Networks, Shenzhen 518055, Peoples R China 6.PCL Res Ctr Networks & Commun, Peng Cheng Lab, Shenzhen 518066, Peoples R China |
通讯作者单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
Zhang, Weishan,Zhou, Tao,Lu, Qinghua,et al. Dynamic-Fusion-Based Federated Learning for COVID-19 Detection[J]. IEEE Internet of Things Journal,2021,8(21):15884-15891.
|
APA |
Zhang, Weishan.,Zhou, Tao.,Lu, Qinghua.,Wang, Xiao.,Zhu, Chunsheng.,...&Wang, Fei-Yue.(2021).Dynamic-Fusion-Based Federated Learning for COVID-19 Detection.IEEE Internet of Things Journal,8(21),15884-15891.
|
MLA |
Zhang, Weishan,et al."Dynamic-Fusion-Based Federated Learning for COVID-19 Detection".IEEE Internet of Things Journal 8.21(2021):15884-15891.
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论