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.
☆42Updated 5 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☆64Updated 4 years ago
- I put all my exploration around AI in reproducible notebooks in this repository☆82Updated this week
- Wuhan Corona (COVID-19) patients dataset☆38Updated last year
- Federated Learning Demo in Python using Socket Programming☆89Updated 11 months ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆115Updated 5 years ago
- Final project for Lesson 6: Differential privacy for deep learning in the Facebook and Udacity Secure and Private AI scholarship nanodeg…☆21Updated 5 years ago
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆40Updated 5 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Principles of ML Systems Project☆26Updated 4 years ago
- Experiments on MNIST dataset and federated training using Flower framework☆39Updated 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
- Federated Learning mini-framework with Keras☆35Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Emotion detection from text using PyTorch and Federated Learning☆34Updated 5 years ago
- federated-learning☆83Updated 2 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 4 years ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆18Updated 3 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 3 months ago
- A curated list of Federated Learning papers/articles and recent advancements.☆96Updated 2 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- Contains codes for my published tutorials☆31Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 2 years ago
- ☆53Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- Simulate a federated setting and run differentially private federated learning.☆378Updated 2 months ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12Updated 4 years ago
- Centralized Federated Learning using WebSockets and TensorFlow☆9Updated 3 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- ☆8Updated 5 years ago