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A scalable, portable, and lightweight Federated Learning framework.

Project description

Generic and Open Learning Federator

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A scalable, portable, and lightweight Federated Learning framework.

News

  • 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.

History

0.1.0 (2022-11-28)

  • First release on PyPI.

Project details


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