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1 Ergebnisse
1
Federated Competing Risk Analysis:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Rahman, Md Mahmudur
;
Purushotham, Sanjay
- p. 2106-2115 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3614880
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>Federated Competing Risk Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3614880&Exemplar=1&LAN=DE A1 Rahman, Md Mahmudur A1 Purushotham, Sanjay PB ACM YR 2023 K1 competing risks K1 deep learning K1 federated learning K1 survival analysis K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Survival analysis K1 Computing methodologies K1 Artificial intelligence K1 Distributed artificial intelligence K1 Machine learning K1 Machine learning approaches K1 Applied computing K1 Life and medical sciences K1 Health informatics SP 2106 OP 2115 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3614880 DO https://dl.acm.org/doi/10.1145/3583780.3614880 SF ELIB - SuUB Bremen
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