Amazon re:MARS 2022 - Managed federated learning on AWS: A case study for healthcare (MLR312)
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 Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #reMARS2022 #AWS #AmazonWebServices #CloudComputing

Amazon re:MARS 2022 - Self-learning Alexa: ML model updates with no human in the loop (MLR210)
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Amazon re:MARS 2022 - The future of software development, powered by machine learning (MLR225)

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