Communication and Energy Efficient Edge Intelligence

Sabtain Ahmad

Abstract: Driven by the rapid advances in Artificial Intelligence of Things (AIoT), billions of mobile and IoT devices are connected to the internet, generating huge quantities of data at the network edge. Meanwhile, traditional analytics approaches such as cloud computing and centralized AI are unable to manage these massively distributed heterogeneous data primarily because 1) moving a tremendous amount of data across the network poses severe challenges to network capacity 2) cloud-based analytics can result in prohibitively high transmission delays 3) transporting data containing private information over the network poses serious concerns for the privacy and may not even be possible due to regulations like GDPR. Accelerated by the success of AI and IoT technologies, there is an urgent need to push AI to the network edge to tap the full potential of big data.