This Python package provides a set of tools and utilities for implementing Federated Learning (FL) in your machine learning projects. Federated Learning is a decentralized approach to training machine learning models across multiple devices or servers while keeping the data localized.
- Federated Aggregation Algorithms: Implementations of popular aggregation algorithms for federated learning.
- Secure Communication: Secure communication protocols to ensure privacy during model updates.
- Customizable Model Updates: Easily customize how model updates are aggregated and shared across participants.
- Supports Supports both Tensorflow and Pytorch as backends
- Example Applications: Included example applications to demonstrate the usage of the package.
pip install -i https://test.pypi.org/simple/ autoflThis project is licensed under the MIT License.
- The authors of the Federated Learning research papers and implementations that inspired this package.
For questions or issues, please open an issue.