Amazon re:MARS 2022 - Managed federated learning on AWS: A case study for healthcare (MLR312)

Описание: A key challenge working with real-world healthcare and life sciences (HCLS) patient data is the siloing of data across multiple hospital systems and research facilities. Regulations prohibit open data sharing, and the complexity and cost of centralized data repositories deter their use. HCLS partners and customers seek privacy-preserving mechanisms for managing and analyzing distributed and sensitive data. In this session, explore a proposed federated learning framework built on AWS, which facilitates training a global machine learning model on distributed healthcare records. Learn about the effectiveness of the framework on eICU, a critical-care database with over 200 contributing hospitals.


Learn more about Amazon re:MARS at https://bit.ly/3tEIy98

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