Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models

John Fischer, Marko Orescanin, Justin Loomis +1

Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communi…