FedSPDnet uses manifold projections and retractions to average Stiefel-constrained parameters in federated SPDnet, outperforming standard federated EEGnet on EEG motor imagery benchmarks in F1 score and robustness.
Classification of buried objects from ground penetrating radar images by using second order deep learning models
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FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet
FedSPDnet uses manifold projections and retractions to average Stiefel-constrained parameters in federated SPDnet, outperforming standard federated EEGnet on EEG motor imagery benchmarks in F1 score and robustness.