saranshmanu / Federated-Learning
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
Related projects ⓘ
Alternatives and complementary repositories for Federated-Learning
- Federated Learning Course Materials☆65Updated 3 years ago
- Federated Learning Demo in Python using Socket Programming☆85Updated 4 months ago
- Federated Learning mini-framework with Keras☆35Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆36Updated 5 years ago
- Experiments on MNIST dataset and federated training using Flower framework☆35Updated 4 months ago
- A Simulator for Privacy Preserving Federated Learning☆92Updated 3 years ago
- Detect anomalies in network traffic data using Federated Machine Learning technique.☆68Updated 3 months ago
- Contains codes for my published tutorials☆30Updated last year
- Privacy Preserving Vertical Federated Learning☆214Updated last year
- 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
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆21Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆362Updated 3 months ago
- ☆72Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆286Updated last year
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆108Updated 4 years ago
- ☆52Updated 2 years ago
- Principles of ML Systems Project☆26Updated 3 years 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 7 months ago
- A curated list of Federated Learning papers/articles and recent advancements.☆83Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆272Updated 3 months ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆70Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- Implementation of a Federated Learning based CNN model☆14Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆24Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆500Updated last year
- Wuhan Corona (COVID-19) patients dataset☆37Updated last year