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The code to generate the figure for the paper "Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints"

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ankitpensia/locally-private-binary-hypothesis-testing

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Introduction

This repository contains the code to generate the plot in the paper Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints.

Requisites

The code corresponds to Python 3.9.13.

The important packages are numpy, matplotlib, scipy, seaborn. Please install the following list of packages, also available in requirements.txt.

asttokens==2.4.1
colorama==0.4.6
comm==0.2.2
contourpy==1.2.1
cycler==0.12.1
debugpy==1.8.1
decorator==5.1.1
exceptiongroup==1.2.1
executing==2.0.1
fonttools==4.51.0
importlib_metadata==7.1.0
importlib_resources==6.4.0
ipykernel==6.29.4
ipython==8.18.1
jedi==0.19.1
jupyter_client==8.6.1
jupyter_core==5.7.2
kiwisolver==1.4.5
matplotlib==3.8.4
matplotlib-inline==0.1.7
nest-asyncio==1.6.0
numpy==1.26.4
packaging==24.0
pandas==2.2.2
parso==0.8.4
pillow==10.3.0
platformdirs==4.2.1
prompt-toolkit==3.0.43
psutil==5.9.8
pure-eval==0.2.2
Pygments==2.17.2
pyparsing==3.1.2
python-dateutil==2.9.0.post0
pytz==2024.1
pywin32==306
pyzmq==26.0.2
scipy==1.13.0
seaborn==0.13.2
six==1.16.0
stack-data==0.6.3
tornado==6.4
traitlets==5.14.3
typing_extensions==4.11.0
tzdata==2024.1
wcwidth==0.2.13
zipp==3.18.1

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The code to generate the figure for the paper "Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints"

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