### Apache Airflow version

2.3.3 (latest released)

### What happened

I change my DAG from 
```python
with DAG(
   'test',
    access_control={'team':{'can_edit','can_read'}},
) as dag:
   ...
```

to

```python
with DAG(
   'test',
) as dag:
   ...
```

Remove `access_control` arguments, Scheduler can't sync permissions to db.

If we write code like this,

```python
with DAG(
   'test',
   access_control = {'team': {}}
) as dag:
   ...
```

It works.

### What you think should happen instead

It should clear permissions to `test` DAG on Role `team`.

I think we should give a consistent behaviour of permissions sync. If we give `access_control` argument, permissions assigned in Web will clear when we update DAG file.

### How to reproduce

_No response_

### Operating System

CentOS Linux release 7.9.2009 (Core)

### Versions of Apache Airflow Providers

```
airflow-code-editor==5.2.2
apache-airflow==2.3.3
apache-airflow-providers-celery==3.0.0
apache-airflow-providers-ftp==3.0.0
apache-airflow-providers-http==3.0.0
apache-airflow-providers-imap==3.0.0
apache-airflow-providers-microsoft-psrp==2.0.0
apache-airflow-providers-microsoft-winrm==3.0.0
apache-airflow-providers-mysql==3.0.0
apache-airflow-providers-redis==3.0.0
apache-airflow-providers-samba==4.0.0
apache-airflow-providers-sftp==3.0.0
apache-airflow-providers-sqlite==3.0.0
apache-airflow-providers-ssh==3.0.0
```

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

file_parse_end_dttm = timezone.utcnow()
                stats.append(
                    FileLoadStat(
                        file=filepath.replace(settings.DAGS_FOLDER, ""),
                        duration=file_parse_end_dttm - file_parse_start_dttm,
                        dag_num=len(found_dags),
                        task_num=sum(len(dag.tasks) for dag in found_dags),
                        dags=str([dag.dag_id for dag in found_dags]),
                    )
                )
            except Exception as e:
                self.log.exception(e)
        self.dagbag_stats = sorted(stats, key=lambda x: x.duration, reverse=True)
    def collect_dags_from_db(self):
        """Collects DAGs from database."""
        from airflow.models.serialized_dag import SerializedDagModel
        with Stats.timer("collect_db_dags"):
            self.log.info("Filling up the DagBag from database")
            
            
            self.dags = SerializedDagModel.read_all_dags()
            
            
            
            subdags = {}
            for dag in self.dags.values():
                for subdag in dag.subdags:
                    subdags[subdag.dag_id] = subdag
            self.dags.update(subdags)
    def dagbag_report(self):