florian / federated-learningLinks
☆31Updated 7 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:
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- ☆169Updated 7 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Related material on Federated Learning☆26Updated 5 years ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- distributed federated learning for pytorch☆15Updated 7 years ago
- Federated Learning mini-framework with Keras☆35Updated 6 years ago
- ☆72Updated 2 years ago
- Federated Learning on XGBoost☆46Updated 6 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆382Updated 7 months ago
- Privacy Preserving Vertical Federated Learning☆219Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Updated 3 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.☆14Updated 2 months ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 6 years ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆118Updated 5 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- A library for running membership inference attacks against ML models☆150Updated 2 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago