Distributed Indirect Source Coding with Decoder Side Information
<|reference_start|>Distributed Indirect Source Coding with Decoder Side Information: This paper studies a variant of the rate-distortion problem motivated by task-oriented semantic communication and distributed learning problems, where $M$ 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.<|reference_end|>
@article{tang2024distributed,
    title={Distributed Indirect Source Coding with Decoder Side Information},
    author={Jiancheng Tang, Qianqian Yang, Deniz G"und"uz},
    journal={arXiv preprint arXiv:2405.13483},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13483},
    primaryClass={cs.IT math.IT}
}