A dynamic global backbone updating for communication-efficient personalised federated learning
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DOI: 10.1080/09540091.2022.2114428
Abstract: ABSTRACT Federated learning (FL) is an emerging distributed machine learning technique. However, when dealing with heterogeneous data, a shared global model cannot generalise all devices' local data. Furthermore, the FL training process necessitates frequent parameter… read more here.
Keywords: communication efficient; efficient personalised; communication; federated learning ... See more keywords