Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT

Kartikeya Bhardwaj, Chingyi Lin, Anderson Sartor +1

Model compression has emerged as an important area of research for deploying deep learning models on Internet-of-Things (IoT). However, for extremely memory-constrained scenarios,…