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Personalization in federated learning can close 70% of the error gap, but without robust aggregation, models remain vulnerable to sophisticated adversarial attacks.
Transforming lesion segmentation masks into actionable insights allows for accurate skin lesion classification without the need for masks during inference.
Integrating deep learning forecasting with MILP optimization slashes inventory costs by 5.4% and stockouts by 27.5% in textile and PPE supply chains.