Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication. - David Monschein; José Antonio Peregrina Pérez; Tim Piotrowski; Zoltán Nochta; Oliver P. Waldhorst; Christian Zirpins (ISCC, 2021)

Towards a Metadata Management System for Provenance, Reproducibility and Accountability in Federated Machine Learning. - José Antonio Peregrina Pérez; Guadalupe Ortiz 001; Christian Zirpins (ESOCC Workshops, 2022)

Towards Data Governance for Federated Machine Learning. - José Antonio Peregrina Pérez; Guadalupe Ortiz 001; Christian Zirpins (ESOCC Workshops, 2022)

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning. - F. Stricker; José Antonio Peregrina Pérez; David Bermbach; Christian Zirpins (CoRR, 2025)