https://github.com/zk-ml/linear-regression-demo

private quantized linear regression on Ethereum
https://github.com/zk-ml/linear-regression-demo

Last synced: about 2 months ago
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private quantized linear regression on Ethereum

• Host: GitHub
• URL: https://github.com/zk-ml/linear-regression-demo
• Owner: zk-ml
• Created: 2021-08-23T15:45:26.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-08-13T04:15:29.000Z (about 2 years ago)
• Last Synced: 2024-05-22T06:08:39.375Z (4 months ago)
• Language: Solidity
• Homepage:
• Size: 15.6 MB
• Stars: 211
• Watchers: 7
• Forks: 17
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
## zkml demo

_Private quantized linear regression on Ethereum._

This is a demo of the zkml protocol, which implements a zk-SNARK circuit where the proof verifies that a private model has a certain accuracy under a public dataset, as well as the public encrypted model is exactly the private model encrypted using the shared key. 

Presentation: https://www.loom.com/share/fdbe451385dd4a22b5593bf80747a4be

### Running

* download `powersOfTau28_hez_final_18.ptau` from circom and move to `circuits`

* `mkdir artifacts && mkdir artifacts/lr` to store artifacts

* `cd circuits && yarn prod` to build the circuits

* `cd eth && yarn compile && yarn deploy-{NETWORK}` to deploy the contracts

* set up Infura IPFS with `keys/ipfs.json` containing `{"id": ..., "secret": ...}`

* `export PRIVATE_KEY=... && export URL=...` to export private key and RPC URL

* for the jupyter demo, run `jupyter kernelspec list` to find `kernel.json` and add an `"env": {"PRIVATE_KEY": ..., "URL": ...}` entry

* `./zkml` to interact with cli (xDai)

### Check it out on-chain

**There is an outstanding 20 xDai bounty on the contract, available for claim as of December 2021.**

https://blockscout.com/xdai/mainnet/address/0x5B54f06991871cd7EAE76a3D270D9EFFBdC01207/contracts

### Protocol Overview

![fig](protocol_overview.jpg)

### Special Thanks

* ETH Summer

* Lattice