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SCALE: Real-Time Latent Communication for Cyber-Physical Agents

1 reports1 reporting sourcesUpdated 4 days ago

Overview

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This paper introduces SCALE, a method enabling cyber-physical agents to exchange intermediate model representations efficiently. By matching tokens across consecutive latent messages using similarity scores and profiling semantic gain versus communication cost, SCALE employs a real-time scheduler to optimize transmissions under bandwidth constraints and heterogeneous task deadlines. The approach is evaluated on three benchmarks and a physical spider robot case study, demonstrating improved task performance and on-time delivery in bandwidth-constrained networks. Code is available at https://anonymous.4open.science/r/SCALE-4E80/.

Generated from attributed reports · Updated 2 days ago

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Reported quantity · benchmarks: 3 other · reported trials
Supporting report

“these profiles, SCALE employs a real-time scheduler that jointly determines which pending messages to transmit and how many latent tokens to send, subject to available bandwidth and task deadlines. We evaluate SCALE across three cyber-physical benchmarks and a physical spider robot case study under diverse network conditions and heterogeneous task deadlines. Our results show that SCALE significantly improves both tas”

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Supporting report

“k performance and on-time delivery in bandwidth-constrained networks. Our code is available at: https://anonymous.4open.science/r/SCALE-4E80/.”

Exact source · revision 1

Source owner not reported

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11/6
  1. arXiv Robotics — research abstractsSignal
    SCALE: Real-Time Latent Communication for Cyber-Physical Agents

    This paper introduces SCALE, a method enabling cyber-physical agents to exchange intermediate model representations efficiently. By matching tokens across consecutive latent messages using similarity scores and profiling semantic gain versus communication cost, SCALE employs a real-time scheduler to optimize transmissions under bandwidth constraints and heterogeneous task deadlines. The approach is evaluated on three benchmarks and a physical spider robot case study, demonstrating improved task performance and on-time delivery in bandwidth-constrained networks. Code is available at https://anonymous.4open.science/r/SCALE-4E80/.

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