FedBS improves federated EEG motor-imagery classification by keeping batch-normalization local and using sharpness-aware minimization, outperforming six FL baselines and typically centralized training.
Federated machine l earning: Concept and applications,
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Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
FedBS improves federated EEG motor-imagery classification by keeping batch-normalization local and using sharpness-aware minimization, outperforming six FL baselines and typically centralized training.