Federated learning for digital healthcare systems /
Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem.
I tiakina i:
| Ētahi atu kaituhi: | |
|---|---|
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
London ; San Diego, CA :
Academic Press, an imprint of Elsevier,
[2024]
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| Ngā marau: | |
| Urunga tuihono: | ScienceDirect |
| Ngā Tūtohu: |
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