3 papers
cs.DC2026
GreenPipe: Power Modeling for Containerized DNN Inference on Kubernetes Edge Nodes
Mengxue Wang, Peini Liu, Amir Taherkordi +1
Distributed DNN inference is increasingly deployed in containerized edge-cloud environments, where workloads run on-device or are exposed to remote clients over the network. Accura…
cs.AI2026
KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement
Gusseppe Bravo-Rocca, Jordi Guitart, Ajay Dholakia +2
Data drift poses significant challenges for machine learning systems in production, requiring continuous model updates to maintain performance. We present KC-Agent, a dual-process…
cs.LG2025
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring
Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart +3
Monitoring Machine Learning (ML) models in production environments is crucial, yet traditional approaches often yield verbose, low-interpretability outputs that hinder effective de…