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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787356/ https://www.ncbi.nlm.nih.gov/pubmed/30892656 http://dx.doi.org/10.1093/jamia/ocy180 |