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Federated Learning - Machine Learning on Decentralized Data

TensorFlow via YouTube

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This introductory talk explains how to train and evaluate machine-learning models across decentralized devices without centralizing sensitive data. It covers federated computation, privacy technologies, federated model averaging, and experimentation with TensorFlow Federated.

Syllabus

Intro
Agenda
Decentralized Data
Federated Computation
Federated Computation vs Decentralized Computation
Secure Aggregation
Federated Learning Workflow
Federated Learning vs Traditional Distributed Learning
Language Modeling
New Words
Dont Memorize

Taught by

TensorFlow

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Federated Learning - Machine Learning on Decentralized Data

  • Profile image for Silvia González
    Silvia González
    1
    Very interesting to see in a concise and schematic way what this type of system consists of and possible uses.
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