Zero-Knowledge Proof of Training Secures Federated Learning Consensus
A new ZKPoT consensus mechanism leverages zk-SNARKs to prove model training correctness privately, resolving the privacy-efficiency dilemma in decentralized AI.
PoRv2 Revolutionizes Exchange Solvency Verification with Fast, Private Zero-Knowledge Proofs
PoRv2 merges recursive zero-knowledge proofs and Merkle trees to enable transparent, privacy-preserving crypto exchange solvency verification, fostering unprecedented user trust.
Blockchain-Enabled Mechanisms Eliminate Trust for Fair Economic Systems
This research pioneers using blockchain for economic mechanisms, overcoming centralized trust vulnerabilities and ensuring auditability in resource allocation.
