Privacy-Preserving AI Computation π
Last updated
Last updated
Challenge: AI computations often involve sensitive data, requiring strict privacy protections. AI-Chain integrates Zero-Knowledge Proofs (ZK-SNARKs), Fully Homomorphic Encryption (FHE), and Multi-Party Computation (MPC) to ensure encrypted AI computation.
β Fully encrypted AI computation ensures data privacy. β AI training without plaintext data access enhances security. β Distributed computing nodes collaborate to improve efficiency.
π Trend Chart: Privacy Computing in AI Development