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: