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dp-distributed-estimation

Supplementary code for "Differentially Private Distributed Estimation and Learning"

https://github.com/papachristoumarios/dp-distributed-estimation

Science Score: 26.0%

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Supplementary code for "Differentially Private Distributed Estimation and Learning"

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Created about 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

dp-distributed-estimation

Supplementary code for the paper Differentially Private Distributed Estimation and Learning.

Installation and Usage

To install the required packages use pip install requirements.txt. To run the distributed estimation algorithms use

bash python mean_estimation.py --name {name} --eps 1 --delta 0.01

The following datasets are available:

  • us_power_grid: US Power Grid Network
  • germany_consumption: German Households Consumption Dataset
  • ieee_33_bus: IEEE 33 Bus network

For more options run python mean_estimation.py --help.

Reproducing Experiments

To reproduce the experiments of the paper run the run_all_experiments.sh script as

bash bash run_all_experiments.sh

The resulting figures will be saved in the figures directory.

Owner

  • Name: Marios Papachristou
  • Login: papachristoumarios
  • Kind: user
  • Location: Ithaca, NY
  • Company: Cornell CS

Cornell CS PhD Student

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Dependencies

requirements.txt pypi
  • matplotlib ==3.7.1
  • networkx ==3.0
  • numpy ==1.24.2
  • pandas ==2.0.1
  • powerlaw ==1.5
  • scipy ==1.10.1
  • seaborn ==0.12.2