PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks
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In conventional federated learning, each device is restricted to train a network model of the same structure. This greatly hinders the application of federated learning where the data and devices are quite heterogeneous because of their different hardware equi... ...
