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/User Equipment-coordination Set Federated For Deep Neural Networks
Abstract

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for User Equipment-Coordination Set (UECS) Federated for Deep Neural Networks. A coordinating user equipment (UE) of the UECS communicates, to a second UE in the UECS and using one or more side links, one or more update conditions that indicate when to generate updated machine learning (ML) configuration information for one or more deep neural networks (DNNs) that are configured to perform some or all of a transmitter or a receiver processing functionality to process communications at the second UE. The coordinating UE receives, from the second UE over the one or more side links, one or more reports, each report including the updated ML configuration information determined by the second UE using a training procedure and input data local to the second UE.

Full Text

What is claimed is:

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for User Equipment-Coordination Set (UECS) Federated for Deep Neural Networks. A coordinating user equipment (UE) of the UECS communicates, to a second UE in the UECS and using one or more side links, one or more update conditions that indicate when to generate updated machine learning (ML) configuration information for one or more deep neural networks (DNNs) that are configured to perform some or all of a transmitter or a receiver processing functionality to process communications at the second UE. The coordinating UE receives, from the second UE over the one or more side links, one or more reports, each report including the updated ML configuration information determined by the second UE using a training procedure and input data local to the second UE.
Timeline
Filed
02/27/2026
Published
07/02/2026
Granted
Not Available
IPC Codes(2)
G06N 3/098:Distributed learning, e.g. federated learning
G06N 3/045:Combinations of networks