Jiyue Huang, Chi Hong, Stefanie Roos, Lydia Y. Chen (2025), GIDM: Gradient Inversion of Federated Diffusion Models, Mila Dalla Preda, Sebastian Schrittwieser, Vincent Naessens, Bjorn De Sutter (Eds.), In Availability, Reliability and Security - 20th International Conference, ARES 2025, Proceedings p.380-401, Springer.

Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen (2025), Go with the Flow: Churn-Tolerant Decentralized Training of Large Language Models, Cheng-Zhong Xu, Leong Hou U, Xueqi Cheng, Jing Gao, Giuseppe Polese, Hong Mei, Paul Boniol, Michiaki Tatsubori, Chen Zhao, More Editors (Eds.), In Proceedings - 2025 IEEE International Conference on Big Data, BigData 2025 p.3365-3375.

Yaxin Luopan, Rui Han, Qinglong Zhang, Xiaojiang Zuo, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2025), Loci: Federated Continual Learning of Heterogeneous Tasks at Edge, In IEEE Transactions on Parallel and Distributed Systems Volume 36.

Yuxiao Liu, Rui Han, Qinglong Zhang, Haiting Hou, Chi Harold Liu, Lydia Y. Chen (2025), On Scheduling Early-Exit Layers for Model Pipeline in 6G-Based Edge Inference, In IEEE Network Volume 39 p.131-137.

Gijs Paardekooper, Jeroen M. Galjaard, Lydia Y. Chen (2025), On the Gap Between Diffusion and Transformer Multi-Tabular Generation, In CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management p.5947-5954, 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.

Zilong Zhao, Robert Birke, Lydia Y. Chen (2025), TabuLa: Harnessing Language Models for Tabular Data Synthesis, Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Zhangkai Wu, Yu Yao (Eds.), In Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings p.247-259, Springer.

Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen (2025), TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models, In Proceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025 p.110-124.

Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Chen, Alessandro Bozzon, Rihan Hai (2024), Amalur: The Convergence of Data Integration and Machine Learning, In IEEE Transactions on Knowledge and Data Engineering Volume 36 p.7353-7367.

Iacopo Colonnelli, Robert Birke, Giulio Malenza, Gianluca Mittone, Alberto Mulone, Jeroen Galjaard, Lydia Y. Chen, Sanzio Bassini, Gabriella Scipione, More Authors (2024), Cross-Facility Federated Learning, In Procedia Computer Science p.3-12.