code: def jointly_train():
      encrypt_digits()
      alice_images_enc = crypten.load_from_party(
          "/tmp/data/alice_images.pth", src=ALICE
      )
      bob_labels_enc = crypten.load_from_party(
          "/tmp/data/bob_labels.pth", src=BOB
      )
  
      model = LogisticRegression().encrypt()
      model = train_model(model, alice_images_enc, bob_labels_enc)
  
file_path: CrypTen/pycon-workshop-2020/training_across_parties.py
imports: import sys
  import crypten
  import torch
  import torchvision
  from multiprocess_launcher import MultiProcessLauncher
label_desc: Use image node_id 4 for calling a global function with example usage: jointly_train() without return types