activity
20222026
collaborators

6 papers

cs.LG2026

Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning

Simon Süwer, Julian Klemm, Elisa Acitelli +39

Federated learning enables collaborative training without sharing patient-level data, but most studies remain simulations. Based on five requirements derived from the literature, w…

cs.AI2026

Tractable Query Answering under Epistemic Confidentiality Policies in DL Ontologies (extended version)

Lorenzo Marconi, Daniela Rieti, Riccardo Rosati

We study Controlled Query Evaluation (CQE), a declarative approach to confidentiality-preserving data access, in the context of Description Logic (DL) ontologies, and for confident…

cs.AI2025

CQE under Epistemic Dependencies: Algorithms and Experiments (extended version)

Lorenzo Marconi, Flavia Ricci, Riccardo Rosati

We investigate Controlled Query Evaluation (CQE) over ontologies, where information disclosure is regulated by epistemic dependencies (EDs), a family of logical rules recently prop…

cs.AI2024

Controlled Query Evaluation through Epistemic Dependencies

Gianluca Cima, Domenico Lembo, Lorenzo Marconi +2

In this paper, we propose the use of epistemic dependencies to express data protection policies in Controlled Query Evaluation (CQE), which is a form of confidentiality-preserving…

cs.AI2024

Consistent Query Answering for Existential Rules with Closed Predicates

Lorenzo Marconi, Riccardo Rosati

Consistent Query Answering (CQA) is an inconsistency-tolerant approach to data access in knowledge bases and databases. The goal of CQA is to provide meaningful (consistent) answer…

cs.DB2022

Consistent Query Answering for Expressive Constraints under Tuple-Deletion Semantics

Lorenzo Marconi, Riccardo Rosati

We study consistent query answering in relational databases. We consider an expressive class of schema constraints that generalizes both tuple-generating dependencies and equality-…