Token-Oriented Semantic Communication with Pretrained Vision Transformers
Quick summary
arXiv:2608.25410v2 Announce Type: replace-cross Abstract: Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inference in resource-constrained edge systems. However, directly transmitting token embeddings presents two practical challenges: substantial communication cost and limited interoperability across model-specific token embedding spaces. To address these challenges, we propose a \emph{token-oriented} semantic communication framework. In this framework, token-level tas
Key takeaways
- arXiv:2608.25410v2 Announce Type: replace-cross Abstract: Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inference in resource-constrained edge systems.
- However, directly transmitting token embeddings presents two practical challenges: substantial communication cost and limited interoperability across model-specific token embedding spaces.
- To address these challenges, we propose a \emph{token-oriented} semantic communication framework.
Why it matters
This model development creates a new option for users and a new testing obligation for developers. A fixed evaluation set comparing quality, cost and failure behavior is more useful than launch claims.
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