METHODS FOR FEDERATED LEARNING OVER WIRELESS (FLOW) IN WIRELESS LOCAL AREA NETWORKS (WLAN)
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.
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