Zero-Knowledge Proof of Training Secures Decentralized Federated AI
A new Zero-Knowledge Proof of Training consensus leverages zk-SNARKs to cryptographically verify model accuracy without exposing private data, solving the fundamental privacy-accuracy trade-off in decentralized AI.
Zero-Knowledge Proofs Unlock Unlimited Verifiable Computation for the EVM
This new zero-knowledge primitive decouples EVM computation from on-chain gas limits, enabling provable off-chain logic and complex state access.
Quantum-Secure Hybrid VRF Model Ensures Post-Quantum Decentralized Randomness
This new hybrid VRF uses Ring-LWE encryption off-chain and NTRU signatures on-chain, securing decentralized randomness against quantum threats.
