#LagrangeLA #LagrangeLA $LA #LagrangeCrash

DeepProve

Lagrange’s zero-knowledge machine learning (zkML) framework allows developers to cryptographically prove the correctness of AI model inferences without revealing the underlying model parameters or data. This can be used by projects to protect their proprietary data while proving the authenticity of the output.

By utilizing advanced cryptographic techniques, DeepProve achieves proving times that are significantly faster than previous zkML solutions. For example, it can prove the inference of a neural network up to 158 times faster than leading alternatives.

ZK Coprocessor

Lagrange has pioneered an SQL-based ZK Coprocessor that’s designed for performing complex off-chain computations on data and verifying the results on-chain with cryptographic proofs. To achieve this goal, blockchain data is transformed into a ZK-friendly format. Provers use this data to perform intensive off-chain computations and generate ZK proofs that attest to the correctness of the computations. These proofs are then submitted to smart contracts on-chain, enabling trustless verification without revealing the underlying data.

Lagrange State Committees

In addition to these three components, Lagrange has also introduced Lagrange State Committees, a decentralized network that acts as a ZK light client protocol for optimistic rollups like Arbitrum, Optimism and Mantle Network. Each committee comprises nodes that have restaked at least 32 ETH via EigenLayer.These nodes monitor rollup activity and attest to the finality of blocks. Their collective signatures are aggregated into succinct ZK proofs that applications can use to verify rollup states without waiting for lengthy challenge periods.