Metadata-Version: 2.1
Name: golf-federated
Version: 0.2.0
Summary: A scalable, portable, and lightweight Federated Learning framework.
Home-page: https://github.com/MatZaharia/generic_and_open_learning_federator
Author: MatZaharia
Author-email: guozh29@mail2.sysu.edu.cn
License: MIT license
Keywords: golf_federated
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6

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Generic and Open Learning Federator
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.. image:: https://img.shields.io/pypi/v/golf_federated.svg
        :target: https://pypi.python.org/pypi/golf_federated

.. image:: https://img.shields.io/travis/MatZaharia/generic_and_open_learning_federator.svg
        :target: https://travis-ci.com/MatZaharia/generic_and_open_learning_federator

.. image:: https://readthedocs.org/projects/generic-and-open-learning-federator/badge/?version=latest
        :target: https://generic-and-open-learning-federator.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




A scalable, portable, and lightweight Federated Learning framework.


* Free software: MIT license
* Documentation: https://generic-and-open-learning-federator.readthedocs.io.


News
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* June 08, 2024 -- Cedar (A Secure, Cost-Efficient and Domain-Adaptive Framework).

Features
--------

* GOLF provides a lightweight solution to support the implementation of FL.
* GOLF modularizes system functions to achieve loose coupling during system development and deployment, which makes the framework more generic and scalable.
* GOLF uses container technology to ensure that the system is weakly dependent on the compilation environment to achieve portability.
* GOLF is compatible with multiple devices (e.g., Android, embedded computers, edge devices, etc.).

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


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History
=======

0.1.0 (2022-11-28)
------------------

* First release on PyPI.


