Review
Jul 2026
Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems
This work provides one of the first structured attempts to formalize model optimization as a constraint-aware, multi-objective engineering process, synthesizing quantitative evidence from the research literature.
Dhruv Shivkant, Saket Mohanty, S. Rai et al.
· arXiv.org · 0 citations