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SLOT-Align achieves superior accuracy and robustness in One-Shot Federated Learning by harmonizing feature representations in the presence of domain and label shifts.
Generative models can now be rigorously applied to compressed sensing in infinite-dimensional spaces, enabling stable signal recovery with resolution-independent sampling.