The challenge of collaborative IoT-based inferencing in adversarial settings

• Main Authors: MISRA, Archan, WEERAKOON MUDIYANSELAGE, Dulanga Kaveesha Weerakoon, JAYARAJAH, Kasthuri
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Internet of Things; Vision Sensing; Edge Computing; Deep Learning; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/4787; https://ink.library.smu.edu.sg/context/sis_research/article/5790/viewcontent/Conference_LaTeX_template_7_9_18__1_.pdf
• Institution: Singapore Management University

In many practical environments, resource-constrained IoT nodes are deployed with varying degrees of redundancy/overlap--i.e., their data streams possess significant spatiotemporal correlation. We posit that collaborative inferencing, whereby individual nodes adjust their inferencing pipelines to inc...