federated-learning

It seems that the number of joining clients (not the num of computing clients) is fixed in fedml_api/data_preprocessing/**/data_loader and cannot be changed except CIFAR10 datasets.

Here I mean that it seems the total clients is decided by the datasets, rather the input from run_fedavg_distributed_pytorch.sh.

https://github.com/FedML-AI/FedML/blob/3d9fda8d149c95f25ec4898e31df76f035a33b5d/fed

Parts of our mypy configuration live in mypy.ini. Support for configuration via pyproject.toml was recently added to mypy (https://mypy.readthedocs.io/en/stable/config_file.html#using-a-pyproject-toml-file), so we should migrate our configuration to follow a consistent approach over all Python tooling