J. Calle-Cancho

Scaling and Validating a Distributed Training and Retraining Pipeline for Network Intrusion Detection

Network intrusion detectors must train at scale and be retrained as traffic drifts, which stresses pipeline reproducibility and distributed execution. We validate a batch training and retraining pipeline with distributed model fitting, a step towards end-to-end machine-learning operations (MLOps) rather than a complete...