Using federated approaches to machine learning is to ensure data privacy or data secrecy.

Overview

Essence of privacy techniques
Tried to give an overview of privacy techniques which can be used in ML Techniques -Federated learning, Differential privacy and Secure Multi-party ...
federated-learning differential-privacy privacy article

Tutorials

Privacy Preserving Deep Learning with PyTorch & PySyft
In this step-by-step tutorial series, you'll learn about all the ways PySyft can be used to bring Privacy and Decentralization to the Deep Learning ...
privacy pysyft openmined code

Libraries

General
PySyft
A library for encrypted, privacy preserving machine learning.
pysyft openmined differential-privacy privacy
Opacus
A high-speed library for training PyTorch models with differential privacy.
differential-privacy privacy pytorch opacus
Table of Contents
Share a project
Share something you or the community has made with ML.
Topic experts
Share