HYBRID FEDERATED LEARNING OF MACHINE LEARNING MODEL(S)
Implementations disclosed herein are directed to a hybrid federated learning (FL) technique that utilizes both federated averaging (FA) and federated distillation (FD) during a given round of FL of a given global machine learning (ML) model. Implementations may identify a population of client device...
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