Pneumonia Detection with Federated Learning

A modular, scalable deep learning system for detecting pneumonia from chest X-rays using federated learning.

Modules

• pneumonia_detector/: Core logic (data, models, FL, training)
• scripts/: Entry points for training and testing
• configs/: YAML configs for models and FL
• notebooks/: Exploration and visualizations

Quickstart

pip install -r requirements.txt
python scripts/train.py

Folder Structure

xrp-proj/
├── configs/
├── data/
│   ├── images/
│   │   ├── sample1.png
│   │   └── sample2.png
│   └── manifest.csv
├── Dockerfile
├── notebooks/
├── pneumonia_detector/
│   ├── __init__.py
│   ├── data_loader.py
│   ├── models.py
│   ├── trainer.py
│   ├── fl_core.py (maybe still placeholder)
│   ├── utils.py (possibly still placeholder)
│   └── __pycache__/  # generated by Python
├── readme.md
├── requirements.txt
├── scripts/
│   └── train.py
├── tests/