MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202647074082 A) filed by Google LLC on June 15, 2026, for Updating Federated Deep Neural Networks.
Inventors include Wang, Jibing; and Stauffer, Erik Richard.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: Federated machine learning systems and techniques efficiently schedule communications for both training and updating neural network models. A computer implemented method, performed by a computing system, includes assigning a plurality of user equipments, UEs, to a federated learning group for a neural network and selecting a subgroup of one or more of the UEs of the federated learning group to provide update information. The method further includes scheduling, for each selected UE of the subgroup, uplink resources for the UEs to provide the update information and receiving, from one or more of the selected UEs of the subgroup using the scheduled uplink resources, respective update information. The method also includes updating, based on the update information, parameters of the neural network and sending, to the plurality of UEs in the federated learning group, an update indication of the updated parameters of the neural network.
Disclaimer: Curated by HT Syndication.
