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**Apache Airflow version**: ANY


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`):

**Environment**:

- **Cloud provider or hardware configuration**:
- **OS** (e.g. from /etc/os-release):
- **Kernel** (e.g. `uname -a`):
- **Install tools**:
- **Others**:

**What happened**:

I've an issue with airflow celery worker performance, and I think there are a place for optimization if airflow enables providing --without-gossip while creating celery worker https://github.com/apache/airflow/blob/87038ae42aff3ff81cba1111e418a1f411a0c7b1/airflow/bin/cli.py#L1271 
https://docs.celeryproject.org/en/4.4.3/reference/celery.bin.worker.html?highlight=--without-gossip#cmdoption-celery-worker-without-gossip. In my case, I've a 200 vm and every vm running 2 queues, so 400 **workers exchanging useless message every second** which result in airflow worker is taking about 10% of cpu time (in 4 cores) and to compare, I've a standalone celery app that consume 0.1% of cpu time **after enabling --without-gossip --without-mingle --without-heartbeat**.

**What you expected to happen**:

celery worker should not take more than 2% of cpu time.

**How to reproduce it**:
Using 200 vm and every vm 2 celery workers running at same time, you will see that the celery worker process is taking ~10-15% of cpu time.

PLEASE NOTE:
Due to https://github.com/celery/celery/issues/2566, we can't provide --without-mingle and --without-gossip through configuration (config file).
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**Anything else we need to know**:

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airflow/cli/cli_parser.py
#
#
#
"""Command-line interface"""
import argparse
import json
import os
import textwrap
from argparse import Action, ArgumentError, RawTextHelpFormatter
from functools import lru_cache
from typing import Callable, Dict, Iterable, List, NamedTuple, Optional, Union
from airflow import settings
from airflow.cli.commands.legacy_commands import check_legacy_command
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.executor_constants import CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR
from airflow.utils.cli import ColorMode
from airflow.utils.helpers import partition
from airflow.utils.module_loading import import_string
from airflow.utils.timezone import parse as parsedate
BUILD_DOCS = "BUILDING_AIRFLOW_DOCS" in os.environ
def lazy_load_command(import_path: str) -> Callable:
    """Create a lazy loader for command"""
    _, _, name = import_path.rpartition('.')
    def command(*args, **kwargs):