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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Although the volume of HCLS-generated data has never been greater, the challenges and constraints associated with accessing such data limits its utility for future research. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner.

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What Is Data Quality and Why Is It Important?

Alation

Organizations must be able to locate the totality of an individual’s information almost instantly and without missing even a fraction of the collected data because of inaccurate or inconsistent data. The abundance of data systems has also made the monitoring of complicated tasks even more challenging.