Recent advancements in both HE libraries and techniques have made it possible to train and deploy complex AI models on encrypted data, albeit at a higher computational cost than their unencrypted counterparts.

As the Ethereum ecosystem continues to evolve, privacy-preserving techniques will play a crucial role in ensuring that users can confidently and securely engage with decentralized applications and services, without compromising their sensitive data or sacrificing the transparency and trustless nature of the blockchain.