Abstract: Federated learning (FL) is a privacy-preserving distributed machine learning framework. However, recent studies have shown that implementing gradient-based data reconstruction attacks (DRA) ...
Abstract: Objective: To develop a real-time method for designing gradient waveforms for arbitrary k-space trajectories that are time-optimal and hardware-compliant. Methods: The gradient waveform is ...
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