MUMBAI, India, June 13 -- Intellectual Property India has published a patent application (202517050473 A) filed by Lenovo (SINGAPORE) Pte. Ltd., Singapore, on May 26, for 'apparatus and method for enabling asynchronous federated learning.'
Inventor(s) include Karampatsis, Dimitrios; Pateromichelakis, Emmanouil; and Samdanis, Konstantinos.
The application for the patent was published on June 13, under issue no. 24/2025.
According to the abstract released by the Intellectual Property India: "The invention provides a server apparatus, a client apparatus, and a corresponding method for enabling asynchronous federated learning. The method comprises the steps of selecting a subset of a plurality of clients available for federated learning; distributing, to each of the selected clients, parameters of the ML model allowing the client to train the ML model on local data; receiving a local update for the ML model from a client that has completed training of the ML model on local data; generating a globally updated ML model by applying the at least one received local update to the ML model; determining a model accuracy of the globally updated ML model; and iterating at least the steps of distributing, receiving, generating, and determining. A new iteration is started by distributing parameters of the globally updated ML model when at least one of one or more pre-defined iteration conditions is fulfilled, at least one of the one or more pre-defined iteration conditions being independent of whether local updates have been received from all of the selected clients. The FL training process for a ML model is thus speeded up by starting the new iteration when a predefined condition is met even before all local updates have been received from all of the selected clients."
The patent application was internationally filed on May 03, 2023, under International application No.PCT/EP2023/061592.
Disclaimer: Curated by HT Syndication.
