TONIC proposes token-centric semantic communication using utility-aware unequal error protection at the transmitter and confidence-based gating with a completion model at the receiver to improve task performance in wireless systems.
Learning task-oriented communication for edge inference: An information bottleneck approach,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
GA-based joint schedulers for UAV data offloading and edge DNN inference achieve lower end-to-end latency than greedy baselines in simulations.
citing papers explorer
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TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
TONIC proposes token-centric semantic communication using utility-aware unequal error protection at the transmitter and confidence-based gating with a completion model at the receiver to improve task performance in wireless systems.
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Joint Scheduling of Sensing Data Offloading and Edge Inference for Multi-UAV Networks
GA-based joint schedulers for UAV data offloading and edge DNN inference achieve lower end-to-end latency than greedy baselines in simulations.