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FLProject

1.Implement Generated Algorithm to choose next generation 2.Using Federated Learning to calculated two objects(f1: test error, f2: communication round), which are input in generated learning

Step 1: GenAlgrithm choose R population by random

Step 2: Do t times communication in Federated Learning

Step 3: Calculate R numbers of f(f1, f2)

Step 4: Choose M numbers of Perato Optimal solution, can keep record their hyperparameters

Step 5: Reapet the previous process till the result we find final M results

Step 6: Choose the best performanced point and using their hyperparameter as our model's hyperparameter.

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