A Snapshot of the Frontiers of Client Selection in Federated Learning. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver Ramirez (Trans. Mach. Learn. Res., 2022)

Addressing Membership Inference Attack in Federated Learning with Model Compression. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (CoRR, 2023)

Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (IEEE Access, 2025)

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. - Gergely Dániel Németh; Eros Fanì; Yeat Jeng Ng; Barbara Caputo; Miguel Angel Lozano; Nuria Oliver; Novi Quadrianto (CoRR, 2025)