zkML (Zero-Knowledge Machine Learning)
By CoinGecko | Updated on Jan 11, 2024
Zero-Knowledge Machine Learning (zkML) refers to an emerging method in the field of onchain machine learning, integrating the principles of zero-knowledge proofs with ML. Zero-knowledge proofs are cryptographic protocols allowing one party to confirm the truth of a statement to another party without revealing any information beyond the statement's validity. zkML provides a cryptographic certificate verifying an ML model's inference, including details like model size and parameters, ensuring that a prompt has been executed without revealing sensitive data.
Related Terms
Merkle Tree
A Merkle tree is also known as a hash tree in cryptography. It is a tree where every lead node is labelled with cryptographic hash of a data block, and every non-leaf node is labelled with the hash of the labels of its child nodes. It is used to verify of data stored within it and transferable in and between computers.
Microtransaction
Microtransaction is a system that made very small payments possible in buying the common digital goods and services, such as purchasing items in a game.
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