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News/Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications
arxiv
PublishedJuly 20, 2026 at 4:00 AM
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Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications

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arXiv:2508.00042v2 Announce Type: replace-cross Abstract: Machine learning models deployed in non-stationary environments degrade silently, since as the input distribution drifts their accuracy decays without an error signal and without labels to reveal it. Sustaining reliable AI therefore requires

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