Zero-Knowledge Proof of Training Secures Decentralized AI Consensus
A new Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism leverages zk-SNARKs to cryptographically verify model performance, eliminating Proof-of-Stake centralization and preserving data privacy in decentralized machine learning.
Blockchain Framework Fosters Transparent, Incentive-Compatible LLM Multi-Agent Collaboration
A novel blockchain framework enables decentralized Large Language Model agents to collaborate transparently with aligned incentives, overcoming centralized coordination limitations.
