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Confidential Federated Machine Learning

In this use case, we demonstrate how SCONE supports confidential federated machine learning. SCONE can protect the confidentiality and integrity of

  • the training data,
  • the generated model, and
  • the interference

In addition, not only the integrity but also the confidentiality of the code can be protected with the help of SGX and SCONE.

For more details, please have a look at this video: