matthiaslau / Turbofan-Federated-Learning-POC
Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.
☆84Updated last year
Related projects: ⓘ
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆107Updated 4 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆180Updated 3 years ago
- Federated Learning mini-framework with Keras☆35Updated 4 years ago
- Detect anomalies in network traffic data using Federated Machine Learning technique.☆67Updated last month
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆41Updated 4 months ago
- A concise primer on Differential Privacy☆28Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆213Updated last year
- A curated list of resources dedicated to federated learning.☆101Updated 2 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆35Updated 4 years ago
- ☆65Updated this week
- Federated Learning on HyperLedger Aries☆21Updated 2 years ago
- A toolbox for differentially private data generation☆127Updated last year
- Federated Learning on XGBoost☆46Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆24Updated last year
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆32Updated 5 years ago
- ☆22Updated last year
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 5 years ago
- Federated Learning Demo in Python using Socket Programming☆86Updated 2 months ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆137Updated 5 years ago
- ☆72Updated 11 months ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆75Updated last month
- Federated Learning Course Materials☆62Updated 3 years ago
- tf implementation of federated learning☆40Updated 5 years ago
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆42Updated 4 years ago
- Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"☆21Updated 4 years ago
- Related material on Federated Learning☆27Updated 4 years ago
- Meta-Learning for Risk Prediction with Limited Patient Electronic Health Records Using PySyft and SyferText☆19Updated 4 years ago