An asynchronous split-federated learning framework for LEO satellite-ground networks enables local updates during disconnection and heterogeneous model splitting, with simulated accuracy gains over split learning and federated learning.
LEO satellites in 5G and beyond networks: A review from a standardization perspective,
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SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
An asynchronous split-federated learning framework for LEO satellite-ground networks enables local updates during disconnection and heterogeneous model splitting, with simulated accuracy gains over split learning and federated learning.