Align Remote function classes to ModelTrainer: Include training_plan_arn to remote function classes @remote decorator and RemoteExecutor

**Describe the feature you'd like**
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ModelTrainer and Estimator classes currently support training_plan_arn, in order to run training workload by leveraging the instances included in the plan. This functionality is not currently available with remote function classes, which is adopted by customer to start prototyping workloads on Amazon SageMaker.

**How would this feature be used? Please describe.**
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```
@remote(
...
training_plan_arn="arn.1234....."
)
def train(args):
pass
```

**Describe alternatives you've considered**
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There are no alternative solutions

**Additional context**
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Commencez par comparer la manière dont ModelTrainer et Estimator acceptent et utilisent training_plan_arn, puis suivez les chemins de @remote decorator et RemoteExecutor pour une configuration équivalente. Définissez le flux attendu de l'ARN, des arguments du décorateur jusqu'à l'exécution distante, et ajoutez une couverture montrant qu'une remote function peut être lancée avec le training plan spécifié.

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