Google I/O 2019 | Federated Learning: Machine Learning on Decentralized Data

Meet federated learning: a technology for training and evaluating machine learning models across a fleet of devices (e.g. Android phones), orchestrated by a central server, without sensitive training data leaving any user’s device. Learn how this privacy-preserving technology is deployed in production in Google products and how TensorFlow Federated can enable researchers and pioneers to simulate federated learning on their own datasets.


Speakers: Daniel Ramage and Emily Glanz

Session ID: TDC839

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