saranshmanu / Federated-LearningLinks
Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The repository tutorial for using PySyft for distributed training of Machine Learning model.
☆43Updated 6 years ago
Alternatives and similar repositories for Federated-Learning
Users that are interested in Federated-Learning are comparing it to the libraries listed below
Sorting:
- Federated Learning Course Materials☆65Updated 4 years ago
- Federated Learning Demo in Python using Socket Programming☆89Updated last year
- Experiments on MNIST dataset and federated training using Flower framework☆41Updated last month
- Final project for Lesson 6: Differential privacy for deep learning in the Facebook and Udacity Secure and Private AI scholarship nanodeg…☆21Updated 6 years ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆119Updated 5 years ago
- A curated list of Federated Learning papers/articles and recent advancements.☆100Updated 2 years ago
- I put all my exploration around AI in reproducible notebooks in this repository☆104Updated last week
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆39Updated 6 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆524Updated 3 months ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆19Updated 4 years ago
- Principles of ML Systems Project☆26Updated 4 years ago
- Emotion detection from text using PyTorch and Federated Learning☆34Updated 6 years ago
- Simulate a federated setting and run differentially private federated learning.☆385Updated 10 months ago
- A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…☆13Updated last year
- Privacy Preserving Vertical Federated Learning☆221Updated 2 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆34Updated 6 years ago
- Federated Learning mini-framework with Keras☆35Updated 6 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- federated-learning☆85Updated 2 years ago
- Wuhan Corona (COVID-19) patients dataset☆38Updated 5 months ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- resources about federated learning and privacy in machine learning☆543Updated last year
- Simplified implementation of federated learning in PyTorch☆32Updated 5 years ago
- I try to use federated learning to re-design the computer vision model to make facial expression prediction☆17Updated 5 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 6 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 10 months ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- ☆54Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆741Updated 6 months ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago