This is the code accompanying "FedMe: Federated Learning via Model Exchange"

We have three datasets, FEMNIST, CIFAR-10, and Shakespeare. You should download datasets and put them to data (see ReadMe in data).

We have prepared eight Jupyter notebook for the three datasets: 'Centralized', 'Local Data Only', 'FedAvg', 'HypCluster', 'MAAPER', 'Federated Mutual Learning', 'pFedMe', and 'FedMe'. 'FEMNIST', 'CIFAR-10', and 'Shakespeare' contain the respective codes. Hyperparameters that we used are in our source codes.

For FedMe, we have included the results of tuning the model in 'Local Data Only' for each client in the 'client best model' folder. If you run the codes with a different number of clients or different seed values, please create and modify the 'client best model' by yourself.