Giovanni Quattrocchi

Federated Machine Learning as a Self-Adaptive Problem

2021

Machine Learning (ML) enables the creation of a new generation of applications that “learn” from collected data, transferred and analyzed on centralized servers. Moving data may imply a significant overhead and may also undermine users' …

Engineering MLOps Pipelines With Data Quality: A Case Study on Tabular Datasets in Kaggle

2025 · Journal of Software Evolution and Process

ABSTRACT Ensuring high‐quality data is crucial for the successful deployment of machine learning models, thereby sustaining the operational pipelines around such models. However, a significant number of practitioners do not currently use data quality checks …