3 papers
cs.LG2024
Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization
Tomás Hüttebräucker, Simone Fiorellino, Mohamed Sana +2
In multi-user semantic communication, language mismatche poses a significant challenge when independently trained agents interact. We present a novel semantic equalization algorith…
cs.LG2024
Soft Partitioning of Latent Space for Semantic Channel Equalization
Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
Semantic channel equalization has emerged as a solution to address language mismatch in multi-user semantic communications. This approach aims to align the latent spaces of an enco…
cs.LG2024
Latent Space Alignment for Semantic Channel Equalization
Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
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 solv…