Invention Publication
- Patent Title: METHODS FOR FEDERATED LEARNING OVER WIRELESS (FLOW) IN WIRELESS LOCAL AREA NETWORKS (WLAN)
-
Application No.: US18687965Application Date: 2022-10-04
-
Publication No.: US20240356817A1Publication Date: 2024-10-24
- Inventor: Xiaofei Wang , Zinan Lin , Hanqing Lou , Mahmoud Saad , Rui Yang
- Applicant: InterDigital Patent Holdings, Inc.
- Applicant Address: US DE Wilmington
- Assignee: InterDigital Patent Holdings, Inc.
- Current Assignee: InterDigital Patent Holdings, Inc.
- Current Assignee Address: US DE Wilmington
- International Application: PCT/US2022/045676 2022.10.04
- Date entered country: 2024-02-29
- Main IPC: H04L41/16
- IPC: H04L41/16 ; G06N3/084 ; G06N3/098 ; H04W28/18

Abstract:
A federated learning (FL) and/or a distributed machine learning (ML) model sharing process may be implemented in a wireless network. An access point (AP), station (STA), or the like may provide a FL announcement message indicating that a FL or ML process is in being utilized. A STA receiving the announcement message may provide a FL/ML support frame indicating its participation in FL model sharing. The STA may comprise a local FL model executable on the STA. The STA may update its local FL model based on information in the FL announcement message. The STA may update its local FL model based on information received from other STAs in the network. The FL announcement message may comprise a schedule, and the STA may be configured to train its local FL model in accordance with the schedule. The sharing model process may be implemented in a wireless local area network.
Information query