federated-learning

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Soon, we’re launching a sandbox environment for federation. In advance, we want to share some technical details about our design decisions.

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A summary of the topics discussed in the last 8 weeks.

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Adapting federated learning to your own datasets

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To mark the occasion of the eighth Federated Logic Conference (FloC), Amazon’s Byron Cook, Daniel Kröning, and Marijn Heule discussed automated reasoning’s prospects.

Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.

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A gentle introduction to federated learning using PyTorch and PySyft with the help of a real life example.

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This little-known method could very well be the answer to the greatest obstacle facing artificial intelligence's adoption in health care. (from March)