相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Federated Random Forests can improve local performance of predictive models for various healthcare applications
Anne-Christin Hauschild et al.
BIOINFORMATICS (2022)
sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies
Reza Nasirigerdeh et al.
GENOME BIOLOGY (2022)
The AIMe registry for artificial intelligence in biomedical research
Julian Matschinske et al.
NATURE METHODS (2021)
Flimma: a federated and privacy-aware tool for differential gene expression analysis
Olga Zolotareva et al.
GENOME BIOLOGY (2021)
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning
Dmitrii Usynin et al.
NATURE MACHINE INTELLIGENCE (2021)
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Micah J. Sheller et al.
SCIENTIFIC REPORTS (2020)
Federated Learning on Clinical Benchmark Data: Performance Assessment
Geun Hyeong Lee et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Beau Norgeot et al.
NATURE MEDICINE (2020)
Advancing Drug Discovery via Artificial Intelligence (vol 40, pg 592, 2019)
H. C. Stephen Chan et al.
TRENDS IN PHARMACOLOGICAL SCIENCES (2019)
Model poisoning attacks against distributed machine learning systems
Richard Tomsett et al.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS (2019)
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
Jianfang Liu et al.
CELL (2018)
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
Abbas Acar et al.
ACM COMPUTING SURVEYS (2018)
Artificial intelligence in healthcare
Kun-Hsing Yu et al.
NATURE BIOMEDICAL ENGINEERING (2018)
Dermatologist-level classification of skin cancer with deep neural networks (vol 542, pg 115, 2017)
Andre Esteva et al.
NATURE (2017)
Singularity: Scientific containers for mobility of compute
Gregory M. Kurtzer et al.
PLOS ONE (2017)
Practical Secure Aggregation for Privacy-Preserving Machine Learning
Keith Bonawitz et al.
CCS'17: PROCEEDINGS OF THE 2017 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2017)
Applications of Deep Learning in Biomedicine
Polina Mamoshina et al.
MOLECULAR PHARMACEUTICS (2016)
The Algorithmic Foundations of Differential Privacy
Cynthia Dwork et al.
FOUNDATIONS AND TRENDS IN THEORETICAL COMPUTER SCIENCE (2013)
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork et al.
THEORY OF CRYPTOGRAPHY, PROCEEDINGS (2006)