astroherodvaipayan / fed-learning

fed-learning for ml models

Privacy preserving federated learning using zk proofs

this project focuses on building a functional proof of concept of federated learning using an open source tech stack called flower federated.

Installation

start with installing all the key dependencies for the project and then btxh installing all the other packages with a single command.

pip install warnings

pip install flwr

pip install numpy
pip install sklearn

pip install pickle

 pip install -r requirements. txt

Run Locally

Clone the project/ download zip file & extract new directory

 git clone "project name"

Go to the project directory

  cd my-project-name

Install dependencies

  all pip commands previously explained

Start the server

  python server.py

start running all the clients services

 python client_no.py (do it for all 5 clients)