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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まず、ModelTrainer と Estimator が training_plan_arn をどのように受け取り、使用しているかを比較し、次に同等の設定における @remote decorator と RemoteExecutor の経路を追跡します。decorator の引数からリモート実行までの ARN の想定フローを定義し、指定した training plan で remote function を起動できることを示すテストカバレッジを追加します。

索引モデルが issue の本文から書いたものです。