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Announcing Flower Datasets 0.5.0

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Adam Narożniak
Machine Learning Engineer at Flower Labs

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The Flower Team is excited to announce the release of Flower Datasets 0.5.0!

Flower Datasets (flwr-datasets) is a library designed to quickly and easily create datasets for federated learning, federated evaluation, and federated analytics. It was developed by Flower Labs, the creators of Flower: A Friendly Federated Learning Framework, to make working with federated data easier.

What's new?

  • New Partitioning Schemes:

    • Add VerticalSizePartitioner (#4699, #4746)
    • Add VerticalEvenPartitioner (#4692)
  • Docs Improvements

    • Extend installation guide (#4731)
    • Add dataset contribution guide (#4601)
    • Fix formatting of the DistributionPartitioner docs (#4582)
    • Add recommended datasets list (#4556, #4581, #4627)
  • General Improvements

    • Add a check for same object partitioners (#4335)
    • Update type hinting generics (#4750)

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