Differential-Privacy-Federated-Learning

Differential Privacy applied to distributed learning NN with PyTorch. A pure python introduction. This is a work in progress but my aim is to show and discuss examples of usage from frameworks such as PySyft while discussing implementation details and revising NeuralNet basics.

Based on the work of https://github.com/gitgik.

Introduction

If you are new to NN, I recommend the following videos to give the proper intuitions.

• Neural Net Intro
• Learning
• Backpropagation
• Backpropagation 2

Also, I recommend checking this amazing channel 3Blue1Brown.

Tensors intro:

Work in progress

Creating simple Neural Networks:

• Low Level Single Layer NN
• Multilayer NN as a Class With Pytorch wrappers
• Multilayer NN With high level Pytorch wrappers

Diferential Privacy

• Introduction

PySyft Neural Net

• PySyft intro
• PySyft Distributed MNIST NN