Article

FedDP: Secure Federated Learning for Disease Prediction with Imbalanced Genetic Data

2023-01-19

Abstract excerpt

It is challenging to share and aggregate biomedical data distributed among multiple institutions or computing resources due to various concerns including data privacy, security, and confidentiality. The federated Learning (FL) schema can effectively enable multiple institutions jointly perform machine learning by training a robust model with local data to satisfy the requirement of user privacy protection as well...

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Literature Corpus work: 4fa81e73-fc33-58e2-974a-cfb7cb1f4e16
DOI: 10.1101/2023.01.17.524409

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