mynameisfiber / baton
distributed federated learning for pytorch
☆15Updated 7 years ago
Alternatives and similar repositories for baton:
Users that are interested in baton are comparing it to the libraries listed below
- Federated Machine Learning Using MLP☆10Updated 7 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 3 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 mini-framework with Keras☆35Updated 5 years ago
- Related material on Federated Learning☆26Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 7 months ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- ☆14Updated 7 years ago
- Blog dedicated to cryptography and machine learning☆23Updated 4 months ago
- tf implementation of federated learning☆41Updated 5 years ago
- ☆167Updated 7 years ago
- ☆73Updated last year
- Federated Multi-Task Learning☆129Updated 6 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- privacy preserving deep learning☆15Updated 7 years ago
- Machine Learning with SPDZ☆20Updated 6 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 7 months ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Updated 8 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- Federated Learning on HyperLedger Aries☆21Updated 2 years ago
- Federated learning experiment using TensorFlow.js☆163Updated 2 weeks ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago