Federated Learning on Clinical Benchmark Data: Performance Assessment
BackgroundFederated learning (FL) is a newly proposed machine-learning method that uses a decentralized dataset. Since data transfer is not necessary for the learning process in FL, there is a significant advantage in protecting personal privacy. Therefore, many studies are being actively conducted...
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| フォーマット: | 図書 |
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JMIR Publications,
2020-10-01T00:00:00Z.
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| 請求記号: |
A1234.567 |
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| 所蔵 1 | 利用可 |