Applying federated learning to protect data on mobile devices

What the research is: Federated learning with differential privacy (FL-DP) is one of the latest privacy-enhancing technologies being evaluated at Meta as we constantly work to enhance user privacy and further safeguard users’ data in the products we design, build, and maintain. FL-DP enhances privacy in two important ways: It allows machine learning (ML) models [...] Read More... The post Applying federated learning to protect data on mobile devices appeared first on Engineering at Meta.
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