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FedAW: Adapted Weighted Aggregation in Federated Learning (AAAI-24) — weights clients by local bias to handle non-IID data

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Adapted weighted aggregation in Federated Learning

PyTorch implementation of "Adapted weighted aggregation in Federated Learning"

Make dataset

python make_dataset.py with server_user make_target=colored_mnist

Training Vanilla in Federated Setting

python train_fl_LfF.py with server_user colored_mnist skewed3 severity4

Training LfF in Federated Setting

python train_fl_LfF.py with server_user colored_mnist skewed3 severity4

Training BiasAdv in Federated Setting

python fedrated_train.py with server_user colored_mnist skewed3 severity4

Training DFA in Federated Setting

Learning-Debiased-Disentangled-FL

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FedAW: Adapted Weighted Aggregation in Federated Learning (AAAI-24) — weights clients by local bias to handle non-IID data

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