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
Proof-of-Developer (PoD)
A concept of identifying the developers of a project as a means of vouching reputation for a project
Decryption
The process of decrypting data that was previously encrypted (made unreable) back to a readable form.
IEO
Initial Exchange Offering (IEO) is a spin-off of Initial Coin Offering (ICO), where the sale of tokens are conducted on an exchange rather than by the coin team themselves.
Transaction Fee
A payment to the network for performing a transaction to be recorded on the blockchain.
Hungry for more knowledge?
Back to Glossary or Subscribe to our newsletter.