Code for implementation of "Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets".
Warning
The code is still untidied and may exist bugs.
- Python, NumPy, Scikit-learn, PyTorch
They can be found in folder paper_exps.
To divide value fairly between data owners with a given sharded structure, the learning algorithm and a measure of performance for the trained model (test accuracy, etc.).
This project is licensed under the MIT License - see the LICENSE file for details.