APPARATUS AND METHODS FOR FEDERATED LEARNING, DEVICE AND METHOD FOR A DEVICE

Abstract

The federated learning of a first machine-learning model apparatus includes processing circuitry configured to generate a second machine-learning model including a backbone and a decoder from the first machine-learning model. The processing circuitry is configured to perform at least one iteration of the following: (a) output the decoder of the second machine-learning model to one or more devices and for the first iteration of the at least one iteration further output the backbone of the second machine-learning model to one or more devices; (b) receive a trained version of a decoder for the second machine-learning model from one or more devices; and (c) update the decoder of the second machine-learning model based on the trained version of the decoder received from one or more devices. The processing circuitry is configured to update a decoder of the first machine-learning model based on the updated decoder of the second machine-learning model.

CPC Classifications