Presentation
CDA: Collaborative Computing Using Centralized-Distributed Architecture for Smart Sensing
DescriptionSmart sensing is currently a developing topic. In order to further explore the potential of smart sensing, we propose a centralized-distributed computing architecture. Under this architecture, the end, edge, and center deploy networks suitable for their respective scales, and improve system performance and energy efficiency through collaborative computing. The proposed architecture uses a visual model deployed at the near-sensor end to complete feature extraction, and uses a transformation model deployed at the edge to bridge the visual model and the large language models (LLMs) deployed at the center.Then, in order to deploy neural networks at the resource-constrained near-sensor end, this work focuses on the lightweight of neural networks. Our experimental results show up to 5799x parameters reduction and up to 2.8x time and energy savings with maximum 26.9%accuracy decline on the Visual Question Answering (VQA) task.
Event Type
Work-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security