Enabling Privacy-preserving Machine Learning

Homomorphic encryption can transform the field of machine learning by allowing models to be trained on encrypted data. This ensures that the privacy of the training data is preserved, while still enabling the development of powerful AI models. It opens up new possibilities for leveraging sensitive data in AI, without sacrificing user privacy or data security.