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Tutorial: Decentralized and Privacy-Preserving ML via TensorFlow Federated


Speaker: Peter Kairouz, Amlan Chakraborty

Track:PyData Federated Learning is a technology to train machine learning models and run data analytics on decentralized data. This tutorial will demonstrate step-by-step how to train largescale TensorFlow models and custom computations in federated environments.

Recorded at the PyConDE & PyData Berlin 2019 conference.

More details at the conference page: Twitter: Twitter:


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