Meta-Learning-Driven Adaptive Control for Multi-Exit DNN Splitting at the Edge
Results indicate that combining meta-initialization, nonlinear constraint shaping, and topology-aware action masking improves stationary optimization and disturbance recovery within the controlled simulator.