hyperparameter tuning with cross validation in federated learning

Question

i want to implement the federated learning framework.

for finding a set of optimal hyperparameter values, How should I implement cross-validation procedure? Should I train a traditional machine learning model or Federated learning process?

please guide me !!!! please