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
Liquid Proof of Stake (LPoS)
A proof of stake consensus mechanism by Tezos that slightly differs from Delegated Proof of Stake.
Bloodbath
In context of trading, the term bloodbath is commonly used to describe a market which is on a downtrend with many assets suffering from value depreciation.
Gas Limit
A term refers to the maximum amount of units of gas user's willingness to spend on a transaction on Ethereum blockchain.
Stablecoin
Cryptocurrency with a price peg to fiat currencies or commodity.
Hungry for more knowledge?
Back to Glossary or Subscribe to our newsletter.