Researchers propose PCA-Triage, a streaming algorithm that optimizes sensor channel selection in bandwidth-constrained IoT networks. Using incremental PCA without trainable parameters, it achieves F1=0.961 (within 0.1% of full-data) at 50% bandwidth budget and maintains F1>0.90 at 30% budget across 7 benchmarks.
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PCA-Driven Adaptive Sensor Triage for Edge AI Inference
Parameter-free PCA-Triage algorithm cuts IoT bandwidth requirements by half while maintaining 96.1% inference accuracy, unlocking practical edge AI in constrained networks.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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