semvec/pypi-packages huggingface dataset:
fedcore 0.0.5.3
Federated learning core library
License: BSD 3-Clause
Requires Python: <3.11,>=3.8
Keywords: federated learning, machine learning, deep learning, pruning, quantization, distributed learning

FedCore
=======

`FEDot COmpREs` - Framework for model compression, based on FEDOT.

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.. list-table::
   :stub-columns: 1

   * - Code
     - | |version| |python| |os|
   * - Languages
     - | |eng|
   * - Docs & Examples
     - |examples|
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.. |version| image:: https://badge.fury.io/py/fedcore.svg
    :target: https://badge.fury.io/py/fedcore
    :alt: PyPi version

.. |python| image:: https://img.shields.io/pypi/pyversions/fedcore.svg
   :alt: Supported Python Versions
   :target: https://img.shields.io/pypi/pyversions/fedcore

.. |os| image:: https://img.shields.io/badge/os-windows%20%7C%20linux-green
    :alt: Supported OS
    :target: https://img.shields.io/badge/os-windows%20%7C%20linux-green

.. |eng| image:: https://img.shields.io/badge/lang-eng-green.svg
    :target: /README_en.rst

.. |examples| image:: https://img.shields.io/badge/examples-here-blue.svg
    :target: https://github.com/v1docq/FedCore/tree/main/examples
    :alt: Documentation Page




Installation
------------
To install the package an MPI should be installed.
For Linux it can be done with the following commands:

.. code-block::

    sudo apt-get update
    sudo apt-get install -y openmpi-bin libopenmpi-dev


Then using PIP:

.. code-block::

    pip install fedcore



R&D plans
---------

- soon

Supported by
------------
- soon