Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen (2026), BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise, Rita P. Ribeiro, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.254-271, Springer.

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen (2026), Federated Time Series Generation on Feature and Temporally Misaligned Data, Rita P. Ribeiro, Alípio M. Jorge, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.384-399, Springer.

Chi Hong, Jiyue Huang, Robert Birke, Dick Epema, Stefanie Roos, Lydia Y. Chen (2026), Single-Fold Distillation for Diffusion Models, Rita P. Ribeiro, Alípio M. Jorge, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.173-189, Springer.

Yidong Xu, Rui Han, Xiaojiang Zuo, Junyan Ouyang, Chi Harold Liu, Lydia Y. Chen (2025), Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge, In Future Generation Computer Systems Volume 164.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Song Guo, Lydia Y. Chen (2025), EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining, In IEEE Transactions on Mobile Computing Volume 24 p.2690-2707.

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.

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.

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.

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.