coMindOrg / federated-averaging-tutorials
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
☆182Updated 3 years ago
Alternatives and similar repositories for federated-averaging-tutorials:
Users that are interested in federated-averaging-tutorials are comparing it to the libraries listed below
- Federated Learning mini-framework with Keras☆35Updated 5 years ago
- ☆167Updated 7 years ago
- Federated learning experiment using TensorFlow.js☆163Updated 2 weeks ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆471Updated last year
- Simulate a federated setting and run differentially private federated learning.☆369Updated 2 weeks ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 7 months ago
- resources about federated learning and privacy in machine learning☆531Updated 8 months ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- distributed federated learning for pytorch☆15Updated 7 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆247Updated last year
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- tf implementation of federated learning☆41Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- Federated Multi-Task Learning☆129Updated 6 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆504Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 5 years ago
- Related material on Federated Learning☆26Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆335Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆290Updated 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
- Leaf: A Benchmark for Federated Settings☆872Updated last year
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago