ZKML (ZK Machine Learning) technology
Overview
ZKML, an abbreviation for Zero-Knowledge Machine Learning, merges zero-knowledge proofs with machine learning models as a cryptographic method. It allows a prover to show that a model's inference was performed accurately while keeping both the model's parameters and the input data concealed. Applications include AI inference that preserves privacy and verification of model integrity.
Within The Counterparty graph, ZKML (ZK Machine Learning) connects to 9 tracked entities, most strongly to EZKL, Modulus Labs, EZKL.
Relations
Top connections in The Counterparty knowledge graph (confidence-weighted, 9 of 9 total).
| Relation | Connected entity | Confidence |
|---|---|---|
implements | EZKL | 95% |
integrates | Modulus Labs | 90% |
integrates | EZKL | 90% |
uses | Gensyn | 85% |
builds | Modulus Labs | 85% |
integrates | Polyhedra Network | 85% |
uses_proof_system | Halo2 | 85% |
integrates | Omron (Subnet 21) | 85% |
integrates | Bittensor | 80% |
Frequently asked questions
What is ZKML (ZK Machine Learning)?
ZKML (ZK Machine Learning) is a technology tracked in The Counterparty knowledge graph. It is connected to 9 other tracked entities, most strongly to EZKL, Modulus Labs, EZKL.
What type of entity is ZKML (ZK Machine Learning)?
ZKML (ZK Machine Learning) is classified as a technology (technology) in The Counterparty knowledge graph.
What is ZKML (ZK Machine Learning) connected to?
In The Counterparty knowledge graph, ZKML (ZK Machine Learning) is linked to 9 other tracked entities, most strongly to EZKL, Modulus Labs, EZKL.