EcoVLA: Energy-Efficient Device-Edge Co-inference for Vision-Language-Action Models Under Real-Time Constraints
EcoVLA is proposed, an adaptive device-edge co-inference framework for VLA models that maximizes system energy efficiency under real-time constraints and incorporates a lightweight transmission mechanism for inter-stage intermediate tensors to reduce the communication overhead incurred by cross-device collaboration.