https://github.com/code-parth/federated-learning-kestra

https://github.com/code-parth/federated-learning-kestra

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/code-parth/federated-learning-kestra
• Owner: Code-Parth
• Created: 2024-12-01T12:54:38.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-01T15:37:26.000Z (over 1 year ago)
• Last Synced: 2025-01-30T12:13:15.587Z (about 1 year ago)
• Language: Python
• Size: 11.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Federated Credit Scoring with Kestra

### architecture

![image](https://github.com/user-attachments/assets/dc80cd80-2c20-4858-8d9b-cfea2894f3b1)

### Prerequisites

- Docker

- Docker Compose

### Installation

1. Clone the repository

2. Run `docker-compose up --build`

### Access

- Kestra Dashboard: http://localhost:8080

- Workflow: `flows/federated-learning-workflow.yml`

## Workflow Details

- Builds Docker image for Federated Learning

- Runs Federated Learning simulation

- Stores results in `results/` directory

## Configurable Parameters

- `NUM_INSTITUTIONS`: Number of simulated institutions

- `NUM_SAMPLES`: Samples per institution

- `RANDOM_SEED`: Reproducibility seed