Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang (2025), MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering, In SIGMETRICS '25 p.25-27, Association for Computing Machinery (ACM).

Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen (2025), Parameterizing Federated Continual Learning for Reproducible Research, Rosa Meo, Fabrizio Silvestri (Eds.), In Machine Learning and Principles and Practice of Knowledge Discovery in Databases p.478-486, Springer.

Rowdy Chotkan, Bart Cox, Vincent Rahli, Jérémie Decouchant (2025), Reliable Communication in Hybrid Authentication and Trust Models, Silvia Bonomi, Letterio Galletta, Etienne Riviere, Valerio Schiavoni (Eds.), In 28th International Conference on Principles of Distributed Systems, OPODIS 2024, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

Carlos Núñez-Gómez, Martijn de Vos, Jérémie Decouchant, Johan Pouwelse, Blanca Caminero, Carmen Carrión (2024), LIGHT-HIDRA: Scalable and decentralized resource orchestration in Fog-IoT environments, In Future Generation Computer Systems Volume 160 p.76-91.

Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang (2024), MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering, In Proceedings of the ACM on Measurement and Analysis of Computing Systems Volume 8.

Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant (2024), Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients, In Middleware 2024 - Proceedings of the 25th ACM International Middleware Conference p.367-378.

Wassim Yahyaoui, Joachim Bruneau-Queyreix, Marcus Völp, Jérémie Decouchant (2024), Tolerating Disasters with Hierarchical Consensus, In Proceedings of the IEEE INFOCOM 2024 - IEEE Conference on Computer Communications p.1241-1250.

Matthijs de Goede, Bart Cox, Jérémie Decouchant (2024), Training Diffusion Models with Federated Learning.

Liangrong Zhao, Jérémie Decouchant, Joseph Liu, Qinghua Lu, Jiangshan Yu (2024), Trusted Hardware-Assisted Leaderless Byzantine Fault Tolerance Consensus, In IEEE Transactions on Dependable and Secure Computing Volume 21 p.5086-5097.

J. Xu, C. Hong, J. Huang, Lydia Y. Chen, J.E.A.P. Decouchant (2023), AGIC: Approximate Gradient Inversion Attack on Federated Learning, Cristina Ceballos, Hector Torres (Eds.), In 41st International Symposium on Reliable Distributed Systems (SRDS 2022 ) p.12-22.