AUG 16, 2026 · PREPRINT
PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification
arXiv
This is a computational methods paper proposing a novel algorithm (PERO) for machine learning model optimization, with no clinical outcome, patient population, or real-world validation against established standards.