NIDCLGApr 21, 2020

How to Train your DNN: The Network Operator Edition

arXiv:2004.10275v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of efficiently running DNNs on real-world network systems for practitioners in network engineering and AI deployment.

The paper tackles the problem of optimizing deep neural networks for deployment on physical network infrastructures, evaluating which network optimization techniques perform best in this context.

Deep Neural Nets have hit quite a crest, But physical networks are where they must rest, And here we put them all to the test, To see which network optimization is best.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes