  ```
class SupervisedMonaiProstateDittoLearner(SupervisedMonaiProstateLearner):
    def __init__(self, training_config_filename, num_aggregation_epochs, num_ditto_model_epochs, training_task_name):
        super().__init__(training_config_filename, num_aggregation_epochs, training_task_name)
        self.num_ditto_model_epochs = num_ditto_model_epochs
        self.helper = SupervisedPTDittoHelper()

    def train_config(self):
        super().train_config()
        self.helper.model = UNet()
        self.helper.optimizer = Adam()

    def train(self):
        # Handle abort signals
        if self.abort_signal:
            return

        # Update local model weights with received weights
        self.helper.receive_and_update_model()

        # Load Ditto personalized model
        self.helper.load_local_model()

        # Perform local training on the reference model and personalized model
        self.helper.train()

        # Validate the Ditto model each round
        self.helper.validate()

        # Compute the delta model
        self.helper.compute_model_diff()

        # Return a shareable object with the updated local model
        return self.helper.save_local_model()
```