Google's HEIR Aims to Make Homomorphic-Encrypted Inference a One-Click Capability

Google has released HEIR, an open-source compiler designed to translate standard AI models into formats compatible with homomorphic encryption. This tool aims to lower technical barriers for developers attempting to perform computations on encrypted data without decrypting it first. By simplifying the integration process, Google hopes to make privacy-preserving inference a more accessible capability for practitioners deploying sensitive machine learning workloads.