Zero-Knowledge Proof of Training Secures Decentralized Federated Learning Consensus
ZKPoT, a new zk-SNARK-based primitive, validates decentralized AI model contributions without revealing sensitive training data or parameters.
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.
