Announcing Flower Datasets 0.5.0!

[adam-narozniak]

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)