If you want to see a practical use case of Fully Homomorphic Encryption (FHE) with Machine Learning. > https://www.zama.ai/post/titanic-competition-with-privac

If you want to see a practical use case of Fully Homomorphic Encryption (FHE) with Machine Learning. > https://www.zama.ai/post/titanic-competition-with-privacy-preserving-machine-learning-using-concrete-ml https://www.zama.ai/post/titanic-competition-with-privacy-pr... Its main ambition is to show that FHE can be used for protecting data when using a Machine Learning model to predict outcomes without degrading its performance. Disclaimer: I'm working at Zama (cited in the article posted).