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A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data
Training on multiple diverse data sources is critical to ensure unbiased and generalizable AI. In healthcare, data privacy laws prohibit data from being moved outside the country of origin, preventing global medical datasets being centralized for AI training. Data-centric, cross-silo federated learn...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133021/ https://www.ncbi.nlm.nih.gov/pubmed/35614106 http://dx.doi.org/10.1038/s41598-022-12833-x |