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Federated learning and Indigenous genomic data sovereignty
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2022-11-15 , DOI: 10.1038/s42256-022-00551-y
Nima Boscarino 1 , Reed A Cartwright 2, 3 , Keolu Fox 4 , Krystal S Tsosie 3
Affiliation  

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.

中文翻译:

联邦学习和本土基因组数据主权

土著人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健康方面的准确性和实用性有限。虽然开放数据共享损害了原住民社区管理数据决策的权利,但联合学习可以促进安全和社区同意的数据共享。
更新日期:2022-11-17
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