Optimize for multiprocessing

[SAYaghoubnejad]

In nodes while preforming DKG rounds, the temp data stores in memory (self.key_gens[dkg_id]). This method of implementation will result in the following error:

validator-1  | ERROR:root:Flask round1 handler => Exception occurred: KeyError: '8bbcb164-158b-47dc-94b8-53b04bf62422'
validator-1  | Traceback (most recent call last):
validator-1  |   File "/app/.venv/lib/python3.11/site-packages/pyfrost/network/node.py", line 25, in wrapper
validator-1  |     result: Dict = func(self, *args, **kwargs)
validator-1  |                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^
validator-1  |   File "/app/.venv/lib/python3.11/site-packages/pyfrost/network/node.py", line 124, in round2
validator-1  |     round2_broadcast_data = self.key_gens[dkg_id].round2(broadcasted_data)
validator-1  |                             ~~~~~~~~~~~~~^^^^^^^^

The root cause of this error is that we use 5 workers to run nodes and the memory was not shared.