Repository layout

distributed_random_forest/
├── distributed_random_forest/   # installable package
│   ├── __init__.py              # public exports
│   ├── data/                    # ad-hoc data assets
│   ├── datasets/                # UCI / sklearn public loaders (benchmarks, docs)
│   ├── models/
│   │   ├── random_forest.py     # RF and clients
│   │   ├── dp_rf.py              # DP RF
│   │   └── tree_utils.py
│   ├── federation/
│   │   ├── aggregator.py
│   │   └── voting.py
│   └── experiments/             # EXP 1–4 entry points
├── docs/                        # this documentation (MkDocs)
├── examples/                    # runnable scripts (UCI benchmark CLI)
├── tests/
├── .github/workflows/           # CI (tests) and doc deploy
├── mkdocs.yml
├── pyproject.toml
├── requirements.txt
└── README.md

Path	Role
run_exp*.py (repo root)	Runnable experiment drivers matching Experiment pipeline.
tests/	pytest suite (unit, integration, and end-to-end).
mkdocs.yml + docs/	Static site built with MkDocs.

Continuous integration runs the test suite, lint checks, and experiment smoke tests on each push/PR. Documentation can be published to GitHub Pages when the workflow in .github/workflows/docs.yml is enabled on the default branch.