TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with Federated Learning (FL), an approach to machine learning where a shared global model is trained across many participating clients that keep their training data locally. Speaker: Krzysztof Ostrowski, Google See the revamped dev site → https://www.tensorflow.org/ Watch all TensorFlow Dev Summit '19 sessions → http://bit.ly/TFDS19Sessions Subscribe to the TensorFlow YouTube channel → https://bit.ly/TensorFlow1 Music by Terra Monk → http://bit.ly/TerraMonkTFDS Event Photo Album → http://bit.ly/TFSummit19 event: TensorFlow Dev Summit 2019; re_ty: Publish; product: TensorFlow - TensorFlow Federated; fullname: Krzysztof Ostrowski;