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

@njcurtis3 reported that he's unable to get any files under ./data, which means no access to ambianic edge logs.

We should make sure that ambianic edge logs at error and exception level are routed not only to app files but also to standard output and error. This will enable problems like the one Nathan reported to be seen on docker console output and via docker-compose logs.