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docs(datasets) Add information about heterogeneity to FDS description #3901

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Jul 24, 2024
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docs(datasets) Add information about heterogeneity to FDS description #3901

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Add information about heterogeneity
adam-narozniak Jul 24, 2024
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Merge branch 'main' into add-info-about-heterogeneity-to-fds-description
jafermarq Jul 24, 2024
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4 changes: 1 addition & 3 deletions datasets/doc/source/index.rst
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Flower Datasets
===============

Flower Datasets (``flwr-datasets``) is a library to quickly and easily create datasets for federated
learning/analytics/evaluation. It is created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ - a Friendly Federated Learning Framework.
Flower Datasets (``flower-datasets ``) is a library that enables the quick and easy creation of datasets for federated learning/analytics/evaluation. It enables heterogeneity (non-iidness) simulation and division of datasets with the preexisting notion of IDs. The library was created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ : A Friendly Federated Learning Framework.

Flower Datasets Framework
-------------------------
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:align: center
:alt: Comparison of Partitioning Schemes on CIFAR10


Thanks to using Hugging Face's ``datasets`` used under the hood, Flower Datasets integrates with the following popular formats/frameworks:

- Hugging Face
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