Federated data access and federated learning: improved data sharing, AI model development, and learning in intensive care

被引：6
作者：
van Genderen, Michel E. [1 ]
Cecconi, Maurizio [2 ,3 ]
Jung, Christian [4 ,5 ,6 ]
机构：
[1] Erasmus MC, Univ Med Ctr Rotterdam, Dept Adult Intens Care, internal postadress-Room Ne-403,Doctor molewaterpl, NL-3015 GD Rotterdam, Netherlands
[2] Humanitas Univ, Biomed Sci Dept, Milan, Italy
[3] IRCCS Humanitas Res Hosp, Dept Anaesthesia & Intens Care, Milan, Italy
[4] Heinrich Heine Univ Duesseldorf, Dept Cardiol Pulmonol & Vasc Med, Med Fac, Dusseldorf, Germany
[5] Heinrich Heine Univ Dusseldorf, Med Fac, D-40225 Dusseldorf, Germany
[6] Heinrich Heine Univ Dusseldorf, Univ Hosp Dusseldorf, Cardiovasc Res Inst Dusseldorf CARID, D-40225 Dusseldorf, Germany
来源：
INTENSIVE CARE MEDICINE | 2024年 / 50卷 / 06期
关键词：
D O I：
10.1007/s00134-024-07408-5
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
[No abstract available]
引用
收藏
页码：974 / 977
页数：4
相关论文
共 50 条
  • [31] Data Valuation and Detections in Federated Learning
    Li, Wenqian
    Fu, Shuran
    Zhang, Fengrui
    Pang, Yan
    [J]. 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 12027 - 12036
  • [32] Data Valuation Methods for Federated Learning
    Ardic, Emre
    Genc, Yakup
    [J]. 2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU, 2023,
  • [33] Multimodal Federated Learning on IoT Data
    Zhao, Yuchen
    Barnaghi, Payam
    Haddadi, Hamed
    [J]. 7TH ACM/IEEE CONFERENCE ON INTERNET-OF-THINGS DESIGN AND IMPLEMENTATION (IOTDI 2022), 2022, : 43 - 54
  • [34] Quantum Federated Learning With Decentralized Data
    Huang, Rui
    Tan, Xiaoqing
    Xu, Qingshan
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2022, 28 (04)
  • [35] Federated Fuzzy Learning with Imbalanced Data
    Dust, Lukas Johannes
    Murcia, Marina Lopez
    Makila, Andreas
    Nordin, Petter
    Xiong, Ning
    Herrera, Francisco
    [J]. 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), 2021, : 1130 - 1137
  • [36] Federated Learning with Positive and Unlabeled Data
    Lin, Xinyang
    Chen, Hanting
    Xu, Yixing
    Xu, Chao
    Gui, Xiaolin
    Deng, Yiping
    Wang, Yunhe
    [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022,
  • [37] Unsupervised Federated Learning for Unbalanced Data
    Servetnyk, Mykola
    Fung, Carrson C.
    Han, Zhu
    [J]. 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [38] Fair Federated Learning for Heterogeneous Data
    Kanaparthy, Samhita
    Padala, Manisha
    Damle, Sankarshan
    Gujar, Sujit
    [J]. PROCEEDINGS OF THE 5TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA, CODS COMAD 2022, 2022, : 298 - 299
  • [39] A survey on federated learning in data mining
    Yu, Bin
    Mao, Wenjie
    Lv, Yihan
    Zhang, Chen
    Xie, Yu
    [J]. WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2022, 12 (01)
  • [40] QUANTUM FEDERATED LEARNING WITH QUANTUM DATA
    Chehimi, Mahdi
    Saad, Walid
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 8617 - 8621
12345