Latent Space Alignment for Semantic Channel Equalization
arXiv:2405.13511
Abstract
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.
Accepted for publication at 2024 IEEE ICMLCN