Computation-Communication Co-Design for Efficient Deployment of Deep Learning and Vision-Language Models on Resource-Constrained IoT Devices
The proliferation of IoT devices and rapid advances in AI models demand low-latency inference over continuous sensory streams. In practice, deployment faces two coupled bottlenecks: limited compute and memory on edge devices, and constrained, time-varying wireless bandwidth when cloud assistance is required. Existing a...