message: Rename ds to fashion_mnist for more clarity in the code
diff: from absl import logging
  -from autofl.datasets import fashion_mnist_10s_600 as ds
  +from autofl.datasets import fashion_mnist_10s_600 as fashion_mnist
  from autofl.net import orig_cnn_compiled
  from .controller import RandomController, RoundRobinController
  @@ -10,7 +10,7 @@ from .participant import init_participants
  def individual(_):
  # Load data
  - xy_splits, xy_val, xy_test = ds.load_splits()
  + xy_splits, xy_val, xy_test = fashion_mnist.load_splits()
  logging.info("Number of splits x/y train: {}".format(len(xy_splits)))
  # Train independent models on each data partition
  @@ -29,7 +29,7 @@ def individual(_):
  def round_robin(_):
  # Load data (multiple splits for training and one split for validation)
  - xy_splits, xy_val, xy_test = ds.load_splits()
  + xy_splits, xy_val, xy_test = fashion_mnist.load_splits()
  logging.info("Number of splits x/y train: {}".format(len(xy_splits)))
  # Initialize participants and coordinator
  @@ -52,7 +52,7 @@ def round_robin(_):
  def federated_learning(_):
  logging.info("\n\nStarting federated learning\n")
  # Load data (multiple splits for training and one split for validation)
  - xy_splits, xy_val, xy_test = ds.load_splits()
  + xy_splits, xy_val, xy_test = fashion_mnist.load_splits()
  logging.info("Number of splits x/y train: {}".format(len(xy_splits)))
  # Initialize participants and coordinator
  