LOW COMPLEXITY ML MODEL TRAINING OVER MULTIPLE GNBS

    公开(公告)号:US20250156759A1

    公开(公告)日:2025-05-15

    申请号:US18941936

    申请日:2024-11-08

    Abstract: An apparatus including: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from a plurality of network nodes, information related to at least one parameter of models of the plurality of network nodes; determine at least one cluster of the plurality of network nodes based on at least one similarity criterion and the information related to the least one parameter of models of the plurality of network nodes; and determine at least one global model for the at least one cluster using local models of network nodes that belong to the at least one cluster.

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