Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study
BackgroundMachine 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 l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-06-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2021/6/e26598 |