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

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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

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