mlsanityData to 7 Oct 2026

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints

arXiv 2409.07902 ↗First posted 12 Sep 2024eess.SP cs.IT cs.LGcited by 5

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Abstract (arXiv)

This paper presents communication-constrained distributed conformal risk control (CD-CRC) framework, a novel decision-making framework for sensor networks under communication constraints. Targeting multi-label classification problems, such as segmentation, CD-CRC dynamically adjusts local and global thresholds used to identify significant labels with the goal of ensuring a target false negative rate (FNR), while adhering to communication capacity limits. CD-CRC builds on online exponentiated gradient descent to estimate the relative quality of the observations of different sensors, and on online conformal risk control (CRC) as a mechanism to control local and global thresholds. CD-CRC is proved to offer deterministic worst-case performance guarantees in terms of FNR and communication overhead, while the regret performance in terms of false positive rate (FPR) is characterized as a function of the key hyperparameters. Simulation results highlight the effectiveness of CD-CRC, particularly in communication resource-constrained environments, making it a valuable tool for enhancing the performance and reliability of distributed sensor networks.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 23 of its 58 references that are in the map. First posted on arXiv 12 Sep 2024.

Builds on

23 of 58 references.

References · 23

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11 more
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  8. 2023Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Predictioncited by 5
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.