This repository contains the code for the corresponding paper "Estimating Group Means Under Local Differential Privacy" accepted at PETS 2025.
To work with the project you need to install poetry and have a working Python environment. The project was tested with Python 3.9 and 3.10 on Linux.
Afterwards run:
poetry install
All dependencies are manged using poetry
.
Poetry will automatically create a new venv for the project, when you run poetry install
.
See ARTIFACT-EVALUATION.md for instructions on how to reproduce the results of the paper.