The premise of this challenge is to build a habit of practicing new skills by making a public commitment of practicing the topics of Secure and Private AI program every day for 60 days.

Repo for project : smog detection project at Udacity Project Showcase

Udacity Deep Learning, PyTorch, PySyft

The project showcasing federated learning of model and testing on encrypted data and model

Simple example of federated learning using torch ignite and pysyft

This repository will help you to understand how Federated learning can be implemented on Pima Indians Diabetic Dataset. It involves the use of OpenMined tool called Pysyft and Pytorch for implementation.

Securing Collaborative Medical AI by Using Differential Privacy

The workspace for the Secure and Private AI course on Udacity. https://www.udacity.com/course/secure-and-private-ai--ud185

Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.

Secure & Private AI Challenge Codes

Secure and Private AI Scholarship Challenge Udacity

A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.

The implementation of the "Robust Federated Learning by Mixture of Experts" study.

Implementations notebooks and scripts of secured and private ai scholarship challenge from facebook.

A collection of research and survey papers of differential privacy and federated learning

🔥 Federated Learning Simplified with Frameworks

Repo including all the daily updates of #60daysofudacity Udacity Challenge

Federated learning testbed for real-world mobile devices

Demonstration of application of Distributed Computing in Federated Learning for our Semester-8 Course on Distributed and Cloud Computing