Asynchronous probability ensembling allows heterogeneous CNNs to collaborate in federated disaster detection by exchanging class probabilities instead of weights, reducing communication and improving accuracy.
Advancing accuracy in energy forecasting using mixture-of-experts and federated learning
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Asynchronous Probability Ensembling for Federated Disaster Detection
Asynchronous probability ensembling allows heterogeneous CNNs to collaborate in federated disaster detection by exchanging class probabilities instead of weights, reducing communication and improving accuracy.