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

AWS Machine Learning Blog

In recent years, this new learning paradigm has been successfully adopted to address the concern of data governance in training ML models. This allows you to train an ML model on distributed data, without the need to share or move it. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008.

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