https://github.com/ophiase/astral-zk-ml

🌠 ETH Brussels Contest : Decentralized Machine Learning Protocol adapted to both terrestrial and spatial context to enable the collaboration of different military forces.
https://github.com/ophiase/astral-zk-ml

blockchain machine-learning starknet zero-knowledge

Last synced: 3 months ago
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🌠 ETH Brussels Contest : Decentralized Machine Learning Protocol adapted to both terrestrial and spatial context to enable the collaboration of different military forces.

• Host: GitHub
• URL: https://github.com/ophiase/astral-zk-ml
• Owner: Ophiase
• License: apache-2.0
• Created: 2024-07-12T19:09:00.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-12-15T17:25:39.000Z (6 months ago)
• Last Synced: 2025-01-19T08:32:36.213Z (5 months ago)
• Topics: blockchain, machine-learning, starknet, zero-knowledge
• Language: Jupyter Notebook
• Homepage:
• Size: 7.21 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Astral-ZK-ML



Sponsorized by [ETH Global - Brussels](https://ethglobal.com/events/brussels). \

Prize : **Nethermind** - Best zkML project

Decentralized Machine Learning Protocol adapted to both terrestrial and spatial context. \

The models and the two smartcontracts utilizing them are written in the ZK-Proovable language Cairo. \

In the future, the smart contracts will be deployed on specific L3 for each planets/asteroids using Madara.

## Introduction

- ✅ **ZK-ML tools** : Built in Cairo 2.6.4 for contracts on starknet-compatible blockchain

	- ✅ Implemented on blockchain

		- Basic Algebra + Linear Algebra

			- Principal types: Signed Integer, Float (WFloat), Vector, Matrix

			- Numerous High level operations to manipulate those types.

			- Uniform pseudo random generator (to initialize weights)

				- TODO: add more distributions (normal, poisson, $\dots$)

		- Multi Layer Perceptron (ie. regular Neural Network)

			- eg: Star type identification

	- ❌ Not implemented in cairo yet

		- Convolutional Neural Network

			- for Crater identification

		- Graph Attention Network

			- for Constellation identification

- ❌ Additional proof of concept for tasks assigned to spatial decentralized robots

	- Crater identification (Computer Vision)

	- Constellation identification (Computer Vision)

	- [Microorganism analysis](https://github.com/Ophiase/Microorganism-Computer-Vision) (Computer Vision)

- **Decentralized Smart Contracts** : Variants of the smart contract :

	- ❌ **Fully Decentralized** (not implemented yet)

		- 


		- Based on financial incentive (ie. egoistic incentive)

		- Terestrial variant adapted to Starknet L2.

	- ❌ **Country Wise Decentralized** (not implemented yet)

		- 


		- Assumed resistance to Byzantine fault

		- Spacial variant adapted to a specific L3 for a planet/satellite owned by multiples countries.

- **Demonstration Client**

    - ❌ Not implemented yet


## Documentation

- ### [On Chain content](contract/README.md) 

    - ZK-ML tools 

    - Fully Decentralized contract

    - Country Wise Decentralized contract

- ### [Mathematical/Implementation details](documentation/README.md)

    - Mathematical model/assumptions

    - Algorithms

    - Misc

- ### [Demonstration Client](client/README.md)

- ### Proof Of Concept

	- [Crater Identification](poc/crater_identification/README.md)

	- [Constellation Identification](poc/constellation_identification/README.md)

 	- [Microorganism analysis](https://github.com/Ophiase/Microorganism-Computer-Vision)