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
Alternatives and similar repositories for Turbofan-Federated-Learning-POC:
Users that are interested in Turbofan-Federated-Learning-POC are comparing it to the libraries listed below
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- Federated Learning mini-framework with Keras☆35Updated 5 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 7 months ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆113Updated 5 years ago
- A concise primer on Differential Privacy☆29Updated 4 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Federated Learning on HyperLedger Aries☆21Updated 2 years ago
- Detect anomalies in network traffic data using Federated Machine Learning technique.☆68Updated 7 months ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 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 5 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated 10 months ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- ☆22Updated 2 years ago
- Supervised Learning approach to Detect Anomalies in Blockchain using Federated Learning☆34Updated 4 years ago
- Related material on Federated Learning☆26Updated 4 years ago
- ☆73Updated last year
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- A toolbox for differentially private data generation☆130Updated last year
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 5 years ago
- FedML-Mobile: Federated Learning Research Library for Android and iOS Smartphones (supported by FedML framework)☆23Updated 2 years ago
- Federated gradient boosted decision tree learning☆69Updated last year
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆30Updated 2 weeks ago