Carlos Costa

Fast Online Analytical Processing for Big Data Warehousing

2018

In an organizational context where data volume is continuously growing, Online Analytical Processing capabilities are necessary to ensure timely data processing for users that need interactive query processing to support the decision-making process. This paper …

Federated Function-on-function Regression With an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

2026 · IEEE Transactions on Automation Science and Engineering

Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of "meaningful" implementation of FL for any ML model is how …