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[ICML24] Better Locally Private Sparse Estimation Given Multiple Samples Per User

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User level locally differentially private sparse learning (ULDP-SL)

This repository includes all code and experiments for ULDP-SL, the methodology described in the paper Better Locally Private Sparse Estimation Given Multiple Samples Per User accepted for ICML 2024. The implementation is based on pure Python with the following required packages:

  • Scikit-learn
  • NumPy
  • Scipy
  • Pandas
  • Joblib

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[ICML24] Better Locally Private Sparse Estimation Given Multiple Samples Per User

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