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I've looked into the FedProx implementation but couldn't find the hyperparameter for customising the number of epochs for the inner optimization (of the invidual collaborators) in each round. In the original FedProx implementation, a federated experiment might contain 200 rounds, 10 clients per round, where each client is optimized for 20 epochs. How do I replicate this with openfl?
Thanks a lot!
The text was updated successfully, but these errors were encountered:
Hello, thanks for the great work!
I've looked into the FedProx implementation but couldn't find the hyperparameter for customising the number of epochs for the inner optimization (of the invidual collaborators) in each round. In the original FedProx implementation, a federated experiment might contain 200 rounds, 10 clients per round, where each client is optimized for 20 epochs. How do I replicate this with openfl?
Thanks a lot!
The text was updated successfully, but these errors were encountered: