Federated Learning with Formal Differential Privacy Guarantees

Posted by Brendan McMahan and Abhradeep Thakurta, Research Scientists, Google Research

In 2017, Google introduced federated learning (FL), an approach that enables mobile devices to collaboratively train machine learning (ML) models while keeping the raw training data on each user's device, decoupling the ability to do ML from the need to store the data in the cloud. Since its introduction, Google has continued to actively engage in FL research and deployed FL to power many features in Gboard, including …

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