Multi-Objective Optimization for Deployment

Background: Autonomous ML optimization systems currently focus on optimizing a single performance metric.

Question / Future Work: Future research should extend the framework to support multi-objective optimization, jointly optimizing for competing goals such as accuracy, inference latency, and model size to facilitate deployment-aware algorithm generation.