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Formal Proof of Orthogonality.pdf (3.13 MB)

Formal Proofs of Orthogonality for Class-Incremental Learning for Wireless Device Identification in IoT

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posted on 19.05.2021, 20:39 by Yongxin LiuYongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song

This document provides a formal proof and supple- mentary information of the paper: Class-Incremental Learning for Wireless Device Identification in IoT. The original paper focuses on providing a novel and efficient incremental learning algorithm. In this document, we explicitly explain why the mem- ory representations (latent device fingerprints in our application) in Artificial Neural Networks approximate orthogonality with insights for the invention of our Channel Separation Incremental Learning algorithm.

Funding

This research was partially supported by the National Sci- ence Foundation under Grant No. 1956193.

History

Email Address of Submitting Author

LIUY11@my.erau.edu

Submitting Author's Institution

Embry-Riddle Aeronautical University

Submitting Author's Country

United States of America