Abstract: Federated learning (FL) enhances data privacy by sharing model updates instead of raw data; however, model inversion attacks can still reconstruct private training samples from these updates ...
Abstract: The absence of ground truth (GT) in most fusion tasks poses significant challenges for model optimization, evaluation, and generalization. Existing fusion methods achieving complementary ...
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