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