A first look at federated learning with TensorFlow
This article is originally published at https://blogs.rstudio.com/tensorflow/The term "federated learning" was coined to describe a form of distributed model training where the data remains on client devices, i.e., is never shipped to the coordinating server. In this post, we introduce central concepts and run first experiments with TensorFlow Federated, using R.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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