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zkML Selective Proofs for Efficient High-Risk Model Verification in Decentralized AI
In decentralized AI, high-risk models powering prediction markets and autonomous agents demand ironclad verification, yet full zkML proofs crush efficiency like a margin call in a flash crash. Enter zkML selective proofs : slice only the...
Targeted ZK Verification in zkML: Proving Critical Model Slices for Efficient Decentralized AI
In the high-stakes world of decentralized AI, full zero-knowledge proofs for entire machine learning models are like swinging a sledgehammer at a nail. They work, but they're computationally brutal, slowing down everything from on-chain...