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A novel computational method for neural network compression with proof-of-concept validation across architectures, but lacking peer review, clinical application, or comparison to established baselines.
This is an unrefereed preprint presenting a novel neural network pruning method for privacy; it demonstrates a technical approach on synthetic and real-world datasets but lacks peer review and clinical or established-outcome validation.