Federated learning makes it possible to build machine learning systems without direct access to training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs.

This article is about the business case for federated learning. We’ll talk about how it works at a conceptual level, and then focus on the applications and use cases. Read More

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