FedTorch
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FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Hello,when I ran `docker pull docker.pkg.github.com/mloptpsu/fedtorch/fedtorch:cuda10.2-mpi` in my docker,there's a problem  do you have any ideas to solve it? Thanks.
Hi, Recently I've read your paper "Distributionally Robust Federated Averaging" carefully and I'm trying to reproduce the experiments in it. However, I don't know how to get the plots from...
Does FedTorch's image always fail to pull? Docker pull: “docker pull docker.pkg.github.com/mloptpsu/fedtorch/fedtorch:cuda10.2-mpi”
Hi While running ```main_centered.py``` the model checkpoints not saved. It is not Implemented? Is there anything else missing for ```main_centered.py```? Regards, Ahmed
Would Please tell me how to run and set the parameters for the experiments in the APFL paper.
 It is mix of outputs in the code rather than mix of models in the paper. Why is it?
https://github.com/MLOPTPSU/FedTorch/blob/ab8068dbc96804a5c1a8b898fd115175cfebfe75/fedtorch/comms/trainings/federated/centered/afl.py#L142