5.2 Online Learning Adaptation

To accommodate dynamic operational baselines, the ADS employs an online learning paradigm where model weights are periodically fine-tuned via streaming stochastic gradient descent (SGD) on recently observed data.

Features include:

• Concept Drift Detection: Employs Page-Hinkley test for detecting distributional shifts in telemetry.

• Incremental Backpropagation: Applies adaptive mini-batch updates without full retraining.