Latent Space Alignment for Semantic Channel Equalization
<|reference_start|>Latent Space Alignment for Semantic Channel Equalization: We relax the constraint of a shared language between agents in a semantic and goal-oriented communication system to explore the effect of language mismatch in distributed task solving. We propose a mathematical framework, which provides a modelling and a measure of the semantic distortion introduced in the communication when agents use distinct languages. We then propose a new approach to semantic channel equalization with proven effectiveness through numerical evaluations.<|reference_end|>
@article{hüttebräucker2024latent,
    title={Latent Space Alignment for Semantic Channel Equalization},
    author={Tom'as H"uttebr"aucker, Mohamed Sana and Emilio Calvanese Strinati},
    journal={arXiv preprint arXiv:2405.13511},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13511},
    primaryClass={cs.LG cs.CL cs.IT math.IT}
}