Using the previous posterior as the next prior in federated SGLD training cut iterations to 85% accuracy by about 50% over three days of radar data, with improved calibration.
Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks,
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Bayesian Federated Learning for Continual Training
Using the previous posterior as the next prior in federated SGLD training cut iterations to 85% accuracy by about 50% over three days of radar data, with improved calibration.