CroSatFL cuts ground station communications by over 100x and transmission energy by 6x in satellite federated learning compared to baselines, while keeping competitive accuracy.
Towards efficient satellite computing through adaptive compression
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CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
CroSatFL cuts ground station communications by over 100x and transmission energy by 6x in satellite federated learning compared to baselines, while keeping competitive accuracy.