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Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study
BACKGROUND: Machine learning (ML) is now widely deployed in our everyday lives. Building robust ML models requires a massive amount of data for training. Traditional ML algorithms require training data centralization, which raises privacy and data governance issues. Federated learning (FL) is an app...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262549/ https://www.ncbi.nlm.nih.gov/pubmed/34106083 http://dx.doi.org/10.2196/26598 |