Zero-Knowledge Proof of Training Secures Decentralized AI Consensus
ZKPoT uses zk-SNARKs to verify model training accuracy without revealing private data, fundamentally solving the privacy-efficiency trade-off in decentralized AI.
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.
