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Privacy-Preserving Machine Learning (PPML)Inference for Clinically Actionable Models: How to Monetize ESSG Modelling Efforts?

2024-01-12

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<title>Abstract</title> <p>Purpose: Machine learning (ML) refers to algorithms (often models) that are learned directly from data, germane to past experience. As algorithms have constantly been evolving with the exponential increase of computing power and vastly generated data, privacy of algorithms as well as of data becomes extremely important due to regulations and IP rights. Therefore, it is vital to address...

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Literature Corpus work: ffcc023d-a270-5557-8f00-c80754fbe2d0
DOI: 10.21203/rs.3.rs-3820538/v1

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