Federated learning as a catalyst for digital healthcare innovations

被引：0

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

共 50 条

[1] Unified fair federated learning for digital healthcare
Zhang, Fengda
Shuai, Zitao
Kuang, Kun
Wu, Fei
Zhuang, Yueting
Xiao, Jun
PATTERNS, 2024, 5 (01):
[2] A Multimodal Contrastive Federated Learning for Digital Healthcare
Sachin D.N.
Annappa B.
Ambasange S.
Tony A.E.
SN Computer Science, 4 (5)
[3] Federated learning for digital healthcare: concepts, applications, frameworks, and challenges
Sachin, D. N.
Annappa, B.
Ambesange, Sateesh
COMPUTING, 2024, 106 (09) : 3113 - 3150
[4] Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
Jeong, Hyejun
Chung, Tai-Myoung
FUTURE DATA AND SECURITY ENGINEERING. BIG DATA, SECURITY AND PRIVACY, SMART CITY AND INDUSTRY 4.0 APPLICATIONS, FDSE 2022, 2022, 1688 : 316 - 331
[5] Blockchain and Federated Learning Empowered Digital Twin for Effective Healthcare
Joo, Yunsang
Camacho, David
Boi, Biagio
Esposito, Christian
Choi, Chang
Human-centric Computing and Information Sciences, 2024, 14
[6] Federated Learning for Healthcare Applications
Chaddad, Ahmad
Wu, Yihang
Desrosiers, Christian
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (05): : 7339 - 7358
[7] Federated Learning for Healthcare Informatics
Jie Xu
Benjamin S. Glicksberg
Chang Su
Peter Walker
Jiang Bian
Fei Wang
Journal of Healthcare Informatics Research, 2021, 5 : 1 - 19
[8] Federated Learning for Healthcare Informatics
Xu, Jie
Glicksberg, Benjamin S.
Su, Chang
Walker, Peter
Bian, Jiang
Wang, Fei
JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, 2021, 5 (01) : 1 - 19
[9] Digital healthcare framework for patients with disabilities based on deep federated learning schemes
Lakhan, Abdullah
Hamouda, Hassen
Abdulkareem, Karrar Hameed
Alyahya, Saleh
Mohammed, Mazin Abed
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 169
[10] Review on Federated Learning for digital transformation in healthcare through big data analytics
Babar, Muhammad
Qureshi, Basit
Koubaa, Anis
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 160 : 14 - 28

← 1 2 3 4 5 →