MUMBAI, India, March 14 -- Intellectual Property India has published a patent application (202647024804 A) filed by Nokia Technologies Oy, Espoo, Finland, on March 2, for 'federated multi-task learning in network automation.'
Inventor(s) include Sinaie, Mahnaz; and Subramanya, Tejas.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A method, apparatus and computer program product are provided for performing federated multi-task learning using a federated learning aggregation environment and federated learning distributed nodes (FLDNs). In the context of a method, the method includes determining respective FLDN sets from a plurality of FLDNs for training corresponding personalized global machine learning (ML) models to perform different personalized tasks, where the different personalized tasks are determined based on one or more ML use cases. The method also includes generating at least a first personalized global ML model for performing a first personalized task and a second personalized global ML model for performing a second personalized task. The method also includes performing a respective plurality of training iterations for training the first and second global personalized ML models using the corresponding FLDN sets and by aggregating local model parameters of local personalized ML models independently generated by the respective FLDNs."
The patent application was internationally filed on July 19, 2024, under International application No.PCT/EP2024/070593.
Disclaimer: Curated by HT Syndication.
