联邦学习与本土基因组数据主权。
Federated learning and Indigenous genomic data sovereignty.
作者信息
Boscarino Nima, Cartwright Reed A, Fox Keolu, Tsosie Krystal S
机构信息
Hugging Face, Brooklyn, New York, NY, USA.
The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
出版信息
Nat Mach Intell. 2022 Nov;4(11):909-911. doi: 10.1038/s42256-022-00551-y. Epub 2022 Nov 15.
Abstract
Indigenous peoples are under-represented in genomic datasets, which can lead to limited accuracy and utility of machine learning models in precision health. While open data sharing undermines rights of Indigenous communities to govern data decisions, federated learning may facilitate secure and community-consented data sharing.
摘要
原住民在基因组数据集中的代表性不足，这可能导致机器学习模型在精准医疗中的准确性和实用性受限。虽然开放数据共享会损害原住民社区对数据决策的治理权，但联邦学习可能有助于实现安全且经社区同意的数据共享。
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