Flower NodeJs Client

Package that allows you to implement a Flower client in NodeJs in order to create federated learning with tensorflow.js.

Prerequisite

Install :

Same usage as the Python version.
Create a client that override the client class and fill the 4 methods, like "example/tfjs_Client.js".

const {Client} = require('flower-client');

class Tfjs_Client extends Client{
    ...
}

Modify if necessary the "server.py" and run it.
Finally, run the clients by using start_tfjs_client.

const {start_tfjs_client} = require('flower-client');

const tfjs_client = new Tfjs_Client();
await start_tfjs_client('<ip>:<port>', tfjs_Client,);