Simple example of federated learning using torch ignite and pysyft
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Updated
Jun 10, 2022 - Jupyter Notebook
Simple example of federated learning using torch ignite and pysyft
Udacity Deep Learning, PyTorch, 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.
Secure & Private AI Challenge Codes
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.
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.
A collection of research and survey papers of differential privacy and federated learning
Secure and Private AI Scholarship Challenge Udacity
🔥 Federated Learning Simplified with Frameworks
The implementation of the "Robust Federated Learning by Mixture of Experts" study.
All Things Deep Learning Projects
Repo for project : smog detection project at Udacity Project Showcase
Implementations notebooks and scripts of secured and private ai scholarship challenge from facebook.
Repo including all the daily updates of #60daysofudacity Udacity Challenge
Securing Collaborative Medical AI by Using Differential Privacy
Project entry for the Secure and Private AI Challenge, hosted by Udacity and sponsored by Facebook (May - August, 2019)
The project showcasing federated learning of model and testing on encrypted data and model
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