Distributed Indirect Source Coding with Decoder Side Information
Information Theory
2024-05-24 v1 math.IT
Abstract
This paper studies a variant of the rate-distortion problem motivated by task-oriented semantic communication and distributed learning problems, where correlated sources are independently encoded for a central decoder. The decoder has access to a correlated side information in addition to the messages received from the encoders, and aims to recover a latent random variable correlated with the sources observed by the encoders within a given distortion constraint rather than recovering the sources themselves. We provide bounds on the rate-distortion region for this scenario in general, and characterize the rate-distortion function exactly when the sources are conditionally independent given the side information.
Cite
@article{arxiv.2405.13483,
title = {Distributed Indirect Source Coding with Decoder Side Information},
author = {Jiancheng Tang and Qianqian Yang and Deniz Gündüz},
journal= {arXiv preprint arXiv:2405.13483},
year = {2024}
}