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arXiv · 1910.10356

EdgeAI: A Vision for Deep Learning in IoT Era

Kartikeya Bhardwaj·Naveen Suda·Radu Marculescu
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Abstract

The significant computational requirements of deep learning present a major bottleneck for its large-scale adoption on hardware-constrained IoT-devices. Here, we envision a new paradigm called EdgeAI to address major impediments associated with deploying deep networks at the edge. Specifically, we discuss the existing directions in computation-aware deep learning and describe two new challenges in the IoT era: (1) Data-independent deployment of learning, and (2) Communication-aware distributed inference. We further present new directions from our recent research to alleviate the latter two challenges. Overcoming these challenges is crucial for rapid adoption of learning on IoT-devices in order to truly enable EdgeAI.

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Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu. 2019-10-23. EdgeAI: A Vision for Deep Learning in IoT Era. https://arxiv.org/abs/1910.10356

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