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Per_fl-and-FedAvg

PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach)
and FedAvg(Communication-Efficient Learning of Deep Networks from Decentralized Data).

Environment

numpy == 1.20.2 pytorch == 1.4.0 tqdm == 4.55.1

Usage

1.build data

''' python data_build '''

2.start training

''' python main.py '''

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This is a Pytorch implementation of personalized federated learning with meta learning.

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