MUMBAI, India, July 25 -- Intellectual Property India has published a patent application (202547068297 A) filed by Qualcomm Incorporated, San Diego, on July 17, for 'non-coherent combining for full gradients transmission in federated learning.'
Inventor(s) include Marzban, Mohamed, Fouad, Ahmed; Nam, Wooseok; and Luo, Tao.
The application for the patent was published on July 25, under issue no. 30/2025.
According to the abstract released by the Intellectual Property India: "A first UE may identify, in at least one round of a federated learning procedure, at least one gradient update based on local data and a local copy of a machine learning model associated with the federated learning procedure. The first UE may transmit, based on a non-coherent OTA aggregation scheme and for a network node, an indication of the at least one gradient update via a set of resources associated with the non-coherent OTA aggregation scheme. The indication of the at least one gradient update may include at least one sequence. A transmit power associated with the at least one sequence may be based at least in part on a magnitude of the at least one gradient update. Based on the non-coherent OTA aggregation scheme, the network node may obtain the combined gradients associated with all participating UEs by averaging the received power over the set of resources."
The patent application was internationally filed on Mar. 08, 2024, under International application No.PCT/US2024/019251.
Disclaimer: Curated by HT Syndication.
