ZONE-BASED FEDERATED LEARNING
    1.
    发明公开

    公开(公告)号:US20230396514A1

    公开(公告)日:2023-12-07

    申请号:US18452492

    申请日:2023-08-18

    CPC classification number: H04L41/16 G06F18/2148 H04W8/186 H04W8/20 H04W8/245

    Abstract: A method for managing model updates by a first zone server, associated with a first zone model of a plurality of zone models, includes receiving a global model from a global server associated with the global model. The method also includes transmitting the global model to user equipment (UEs) in a first group of UEs associated with the first zone model. The method further includes receiving, from one or more UEs in the first group, model updates associated with the global model based on transmitting the global model. The method further includes transmitting, to the global server, an average of the model updates received from the one or more UEs. The method also includes updating the global model to generate the first zone model based on the model updates. The method further includes transmitting the first zone model to one or more UEs in the first group.

    MOBILITY AND ZONE MANAGEMENT IN ZONE-BASED FEDERATED LEARNING

    公开(公告)号:US20230140704A1

    公开(公告)日:2023-05-04

    申请号:US17517633

    申请日:2021-11-02

    Abstract: A method for mobility and zone management in zone-based federated learning includes receiving, at a zone management device of multiple zone management devices, a global model from a first network device associated with the global model. Each of the multiple zone management devices is associated with a corresponding zone model of multiple zone models. The zone management device transmits the global model to mobile devices in a first zone associated with the first zone model based on a zone membership. The zone management device receives weights associated with the global model from each mobile device in the first zone. The zone management device updates the first zone model based on the received weights and the zone membership. The zone management device transmits the updated first zone model to each mobile device in the first zone.

    METHOD OF DETERMINING ZONE MEMBERSHIP IN ZONE-BASED FEDERATED LEARNING

    公开(公告)号:US20230385651A1

    公开(公告)日:2023-11-30

    申请号:US18102601

    申请日:2023-01-27

    CPC classification number: G06N3/098 G06N3/0464

    Abstract: A processor-implemented method includes receiving, by a user equipment (UE), a zone determination function based on registering for a federated learning process for training a first federated learning model. The method also includes determining, by the UE, a zone membership in accordance with UE parameters and the zone determination function. The method further includes selecting the first federated learning model, by the UE, based on the zone membership. The method includes training the first federated learning model by the UE.

    ZONE-BASED FEDERATED LEARNING
    4.
    发明申请

    公开(公告)号:US20220417108A1

    公开(公告)日:2022-12-29

    申请号:US17359118

    申请日:2021-06-25

    Abstract: A method for managing model updates by a first network device includes receiving, at the first network device associated with a first zone model of multiple zone models, a global model from a second network device associated with the global model. The method also includes transmitting, from the first network device, the global model to user equipment (UEs) in a first group of UEs associated with the first zone model, a different group of UEs associated with each of the plurality of zone models. The method further includes receiving, at the first network device, weights associated with the global model from each UE in the first group. The method still further includes updating, at the first network device, the first zone model based on the received weights. The method also includes transmitting, from the first network device, the updated first zone model to each UE in the first group.

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