High performance logistic regression for privacy-preserving genome analysis
Abstract Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns. Training machine learning models on the joint data without violating privacy is a major technology challenge that can be addressed...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
BMC,
2021-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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