MULTI-TASK LEARNING METHOD AND RELATED DEVICE
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United States of America Patent
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Issued Date -
Aug 8, 2024
app pub date -
May 29, 2023
filing date -
Feb 2, 2023
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Abstract
A multi-task learning method comprises: determining participating nodes; performing clustering to the participating nodes and determining several clusters; determining a global model for the clusters according to the several clusters and by means of the federated learning within the cluster; determining a cluster key feature set of any one of the clusters according to the cluster model and by means of calculation with the SHAP framework; determining a global model according to the cluster key feature set; and training the global model according to the any one of the clusters, and determining the cluster model of the any one of the clusters, wherein a plurality of the clusters are used for achieving multi-task learning. In the present application, by clustering, the participating nodes having similar device performance and data distribution are collected into the same group, and the participating nodes within the same cluster are trained together.
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