OVER-THE-AIR AGGREGATION FEDERATED LEARNING WITH NON-CONNECTED DEVICES

Abstract

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a first message requesting the UE to perform a federated learning procedure. The first message may indicate a machine learning model and a configuration for the federated learning procedure. The UE may perform, in response to the first message, a training procedure using the machine learning model to obtain one or more model parameters based on the configuration for the federated learning procedure. The UE may transmit a second message indicating one or more gradient values for the one or more model parameters via one or more resources configured for over-the-air (OTA) aggregation based on the configuration for the federated learning procedure.

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