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Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
OBJECTIVE: Decentralized privacy-preserving predictive modeling enables multiple institutions to learn a more generalizable model on healthcare or genomic data by sharing the partially trained models instead of patient-level data, while avoiding risks such as single point of control. State-of-the-ar...
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| Yayımlandı: | J Am Med Inform Assoc |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7787356/ https://ncbi.nlm.nih.gov/pubmed/30892656 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy180 |
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