EdgeAI: A Vision for Deep Learning in IoT Era [article]

Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
2019 arXiv   pre-print
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
more » ... nference. 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.
arXiv:1910.10356v1 fatcat:6df62csanbcldaf5q6y47wymt4