ProFed: A Benchmark for Proximity-Based Non-IID Federated Learning
Authors
Department of Computer Science and Engineering, University of Bologna, Cesena
Christian Otte Ingemann
Department of Electrical and Computer Engineering, University of Aarhus, Aarhus
Department of Computer Science and Engineering, University of Bologna, Cesena
Department of Electrical and Computer Engineering, University of Aarhus, Aarhus
Department of Computer Science and Engineering, University of Bologna, Cesena
DOI: https://doi.org/10.5334/jors.624 | Journal eISSN: 2049-9647
Language: English
Submitted on: Sep 8, 2025
Accepted on: Feb 11, 2026
Published on: Mar 2, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2026 Davide Domini, Christian Otte Ingemann, Gianluca Aguzzi, Lukas Esterle, Mirko Viroli, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.