Converse Techniques for Identification via Channels
Larissa Br\"uche, Marcel A. Mross, Yaning Zhao, Wafa Labidi, Christian, Deppe, Eduard A. Jorswieck

TL;DR
This paper surveys the development of identification via channels, focusing on converse bounds and their evolution, highlighting key techniques and improvements introduced by researchers like Watanabe and Hayashi.
Contribution
It provides a comprehensive overview of converse techniques for message identification, analyzing key proofs and their advancements, especially Watanabe's strong converse bound.
Findings
Watanabe's converse bounds improve applicability in identification via channels.
The survey clarifies the evolution of proof techniques from earlier works.
Feedback-based identification converse proofs are also examined.
Abstract
The model of identification via channels, introduced by Ahlswede and Dueck, has attracted increasing attention in recent years. One such promising direction is message identification via channels, introduced by Ahlswede and Dueck. Unlike in Shannon's classical model, where the receiver aims to determine which message was sent from a set of messages, message identification focuses solely on discerning whether a specific message was transmitted. The encoder can operate deterministically or through randomization, with substantial advantages observed particularly in the latter approach. While Shannon's model allows transmission of messages, Ahlswede and Dueck's model facilitates the identification of messages, exhibiting a double exponential growth in block length. In their seminal paper, Ahlswede and Dueck established the achievability and introduced a…
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Taxonomy
TopicsNeural Networks and Applications
