CFPT and TabAutoDrift detect concept drift by comparing macro-F1 scores from pseudo-label or transfer-learning retraining, reaching F1 of 0.94 in fingerprinting and 1.00 in link anomalies without post-deployment labels.
The role of ai enablers in overcoming impairments in 6g networks,
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Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications
CFPT and TabAutoDrift detect concept drift by comparing macro-F1 scores from pseudo-label or transfer-learning retraining, reaching F1 of 0.94 in fingerprinting and 1.00 in link anomalies without post-deployment labels.