Alberto Huertas Celdran, Chao Feng, Sabyasachi Banik, Gerome Bovet, Gregorio Martinez Perez, Burkhard Stiller: De-VertiFL: A Solution for Decentralized Vertical Federated Learning; 38th IEEE/IFIP Network Operations and Management Symposium (NOMS 2025), Honolulu, HI, USA, May 2025, pp 1–5.
Cecilia Testart, Roland van Rijswijk-Deij, Burkhard Stiller: Passive and Active Measurement (PAM 2025); Cecilia Testart, Roland van Rijswijk-Deij, Burkhard Stiller (Edt.), Springer, Cham, Switzerland, Vol. 15567, March 2025, ISBN 978-3-031-85959-5, doi:10.1007/978-3-031-85960-1 URL: https://link.springer.com/book/10.1007/978-3-031-85960-1.
Raphael Wäspi: Design and Evaluation of a Large Language Model-powered Threat Modeling Approach with Applications to AI Security; Universität Zürich, Communication Systems Group, Department of Informatics, Zürich, Switzerland, March 2025, URL: https://files.ifi.uzh.ch/CSG/staff/vonderassen/extern/theses/ma-waespi.pdf.
Xiao Chen, Chao Feng, Shaohua Wang: AIDFL: An Information-Driven Anomaly Detector for Data Poisoning in Decentralized Federated Learning; IEEE, IEEE Access, Vol. 1, No. 1, March 2025, pp 1–15. URL: https://ieeexplore.ieee.org/abstract/document/10930423.
Dominik Sarman: Design and Implementation of a Stateful Firewall to Mitigate Security Challenges in the QUIC Protocol; Universität Zürich, Communication Systems Group, Department of Informatics, Zürich, Switzerland, February 2025, URL: https://files.ifi.uzh.ch/CSG/staff/gruebl/extern/theses/ma-sarman.pdf.
Chao Feng, Alberto Huertas Celdran, Xi Cheng, Gérôme Bovet, Burkhard Stiller: GreenDFL: a Framework for Assessing the Sustainability of Decentralized Federated Learning Systems; arxiv, arxiv, Zürich, Switzerland, February 2025.
Chao Feng, Alberto Huertas Celdran, Pedro Miguel Sanchez Sanchez, Jan Kreischer, Jan von der Assen, Gerome Bovet, Gregorio Martinez Perez, Burkhard Stiller: CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation; IEEE, IEEE Transactions on Dependable and Secure Computing, Vol. 1, No. 1, February 2025, pp 1–14. URL: https://ieeexplore.ieee.org/document/10908884.
Chao Feng, Yuanzhe Gao, Alberto Huertas Celdran, Gerome Bovet, Burkhard Stiller: From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning; arxiv, arxiv, Zürich, Switzerland, January 2025, URL: https://arxiv.org/abs/2501.03119.
Internet Economics XVIII; Burkhard Stiller, Alberto Huertas, Jan von der Assen, Katharina O. E. Müller, Chao Feng, Daria Schumm, Weijie Niu, Thomas Grubl, Nasim Nezhadsistani, Ahmad Abtahi, Reza Abtahi, Anderson Rocha, (Edt.), CSG, IFI, UZH, IFI-TecReport No. 2025.0001, Zürich, Switzerland, January 2025, URL: https://files.ifi.uzh.ch/CSG/teaching/IntEcoReport/Internet_Economics_XVIII.pdf.
Chao Feng, Nicolas Fazli Kohler, Alberto Huertas Celdran, Gerome Bovet, Burkhard Stiller: ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems; Arxiv, Arxiv, Zürich, Switzerland, January 2025, URL: https://arxiv.org/abs/2501.10347.