[P] Federated Learning (FL) implementation in PyTorch for painless FL research

Hi all!😀
I have completed re-factoring of my FL simulation repo.
([https://github.com/vaseline555/Federated-Learning-PyTorch](https://github.com/vaseline555/Federated-Learning-PyTorch))

Someone may feel tired, thinking '*Eww, another FL library again?*'. But!
I've aimed to build a handy FL simulation code that is neither being too abstract/complicated to play with, nor asking too many prerequisites to kick off.

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\[Key features\]

1) extensive datasets including all \`torchvision.datasets\`, \`torchtext.datasets\`, \`LEAF\` benchmark, and others.
(NOTE: you DON'T have to prepare raw data manually! - what you need is to specify the …

abstract benchmark code data datasets download features federated learning implementation library machinelearning path pytorch research simulation thinking torchvision