Federated learning as a catalyst for digital healthcare innovations

被引：1

作者：

Yang, Guang ^{[1
,2
,3
,4
,5
]}

Edwards, Brandon ^{[6
]}

Bakas, Spyridon ^{[7
,8
,9
,10
,11
,12
,13
]}

Dou, Qi ^{[14
]}

Xu, Daguang ^{[15
]}

Li, Xiaoxiao ^{[16
,17
]}

Wang, Wanying ^{[17
]}

机构：

[1] Imperial Coll London, Bioengn Dept, London W12 7SL, England

[2] Imperial Coll London, Imperial X, London W12 7SL, England

[3] Imperial Coll London, Natl Heart & Lung Inst, London SW7 2AZ, England

[4] Royal Brompton Hosp, Cardiovasc Res Ctr, London SW3 6NP, England

[5] Kings Coll London, Sch Biomed Engn & Imaging Sci, London WC2R 2LS, England

[6] Intel Corp, Santa Clara, CA USA

[7] Indiana Univ Sch Med, Dept Pathol & Lab Med, Div Computat Pathol, Indianapolis, IN USA

[8] Indiana Univ, Ctr Federated Learning Med, Indianapolis, IN USA

[9] Indiana Univ Sch Med, Dept Biostat & Hlth Data Sci, Indianapolis, IN USA

[10] Indiana Univ Sch Med, Dept Radiol & Imaging Sci, Indianapolis, IN USA

[11] Indiana Univ Sch Med, Dept Neurol Surg, Indianapolis, IN USA

[12] Univ San Fransisco, San Francisco, CA USA

[13] MLCommons, Med Working Grp, San Francisco, CA USA

[14] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China

[15] NVIDIA, Santa Clara, CA USA

[16] Univ British Columbia, Elect & Comp Engn Dept, Vancouver, BC V6T 1Z4, Canada

[17] Vector Inst, Toronto, ON M5G 0C6, Canada

来源：

PATTERNS | 2024年 / 5卷 / 07期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1016/j.patter.2024.101026

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页数：2

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