ComAI: Enabling lightweight, collaborative intelligence by retrofitting vision DNNs

• Main Authors: JAYARAJAH, Kasthuri, WANNIARACHCHIGE, Dhanuja, ABDELZAHER, Tarek, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Deep learning; runtime; machine vision; neural networks; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7164; https://ink.library.smu.edu.sg/context/sis_research/article/8168/viewcontent/infocom22_collabml_cameraready.pdf
• Institution: Singapore Management University

While Deep Neural Network (DNN) models have transformed machine vision capabilities, their extremely high computational complexity and model sizes present a formidable deployment roadblock for AIoT applications. We show that the complexity-vs-accuracy-vs-communication tradeoffs for such DNN models c...