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PS-MI

Introduction

This is a repository for the paper "PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning".

Requirements

grpcio==1.34.1
grpcio-tools==1.34.1
tenseal==0.4.0
numpy==1.19.5
pandas==1.1.5
scikit-learn==0.24.1
torch==1.8.1

Parameters

The parameters are defined in the conf/args.py file.

How to Run

  1. Data Preparation:
  • Download the dataset from: UCI, Kaggle website
  • Put the dataset in the data folder.
  • The tools for data preprocessing are in the data_loader folder.
  1. Run the scripts:
  • script/mi)shapley/PS-Mi.sh: Run the PS-Mi algorithm.