Swarm Learning for decentralized and confidential clinical machine learning
Abstract Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine 1,2 . Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes 3 . However, there is an increasing divide between what is technically possible and what is allowed, because of privacy legislation 4,5 . Here, to facilitate the integration of any medical data from any data owner worldwide without violating privacy laws, we
Record details
Published: 26 May 2021
Source: OpenAlex
Category: Research
Topics: Regulation · Privacy · Healthcare
Retrieved: 14 July 2026
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ethics.ai (26 May 2021), “Swarm Learning for decentralized and confidential clinical machine learning,” evidence record 8887, https://ethics.ai/record/8887 (originally published by OpenAlex).
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