Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
AWS Machine Learning
JANUARY 13, 2023
This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. FL doesn’t require moving or sharing data across sites or with a centralized server during the model training process.
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