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