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Don't Just Impute, Detect: Task-Aware Diffusion Pipelines for Edge Anomaly Detection
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anomaly detectionIIoTdiffusion modelsdata imputation
2610.40732
Builder Relevance
1h ago80%
Abstract
The paper proposes a new method for anomaly detection in IIoT edge pipelines that improves upon traditional imputation techniques by using a Task-Aware Diffusion Refiner (TADR).
Reality Card
Core Claim
TADR raises F1 score by 0.338 over the unrefined detector on SMD, demonstrating significant improvement in anomaly detection performance.
Method / Result
TADR runs in 41.4 ms per window on a single CPU core, sustaining about 24 concurrent 1 Hz streams.
Limitations
The method's effectiveness is absent on telemetry datasets dominated by one-hot command channels, which may limit its applicability.
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