I’ve been trying simulate federated learning (FL) with Pytorch.
For FL, there’s a benchmark called Leaf 2 which contains some datasets that are particularly suitable for non-iid data partition setting  that arises in FL context.
Is there an easy way to integrate the datasets from that benchmark to PyTorch? As far as I can see, they’re currently not available via torchvision datasets.