Abstract: Federated Learning (FL) is a promising approach for training machine learning models on decentralized data while preserving privacy. However, privacy risks, particularly Membership Inference ...

Octra Network deploys on-chain FHE machine learning with governance and zero-knowledge verification, letting anyone run private ML inference directly on-chain.

Abstract: A unification algorithm is one of the most important parts of a First-Order Logic (FOL) inference engine because it allows for the discovery of substitutions that make two logical ...