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#federated learning Open access Oct 2026

Privacy-Preserving Federated Remote Sensing via Spatially Modulated Feature Perturbation and Ground Alignment

Space-to-ground collaborative remote sensing has become a promising mode for global-scale earth observation. However, the open satellite-ground communication link faces severe security threats, especially when unauthorized eavesdroppers deploy gradient or feature inversion attacks based on deep learning to reconstruct...

Kun Wang, Yuan Gao, Yuan-Qiao Zhang et al. · 0 citations

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