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Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.
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Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!
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Example uses of Federated Learning:
Something missing or broken? PRs welcome!
4.4
2929 ratings
Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.
Join the discussion
Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!
Sponsors:
Featuring:
Show Notes:
Learning:
Frameworks/ open source projects:
Example uses of Federated Learning:
Something missing or broken? PRs welcome!
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