A single adaptive deep joint source-channel coding model with budget-conditioned token selection and Lyapunov-based resource allocation achieves better accuracy-compression trade-offs than static DJSCC and digital baselines on Imagenette classification.
Adaptive semantic token selection for ai-native goal-oriented commu- nications,
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Adaptive Semantic Token Communication for Transformer-based Edge Inference
A single adaptive deep joint source-channel coding model with budget-conditioned token selection and Lyapunov-based resource allocation achieves better accuracy-compression trade-offs than static DJSCC and digital baselines on Imagenette classification.