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The Ethereal
Latent Space Alignment for Semantic Channel Equalization
May 22, 2024 ยท Declared Dead ยท ๐ 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
"No code URL or promise found in abstract"
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Authors
Tomรกs Hรผttebrรคucker, Mohamed Sana, Emilio Calvanese Strinati
arXiv ID
2405.13511
Category
cs.LG: Machine Learning
Cross-listed
cs.CL,
cs.IT
Citations
0
Venue
2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Last Checked
4 months ago
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.
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