Junyan Ouyang, Siqi Du, Rui Han, Chi Harold Liu, Jianxin Zhao, Xiaoning Wu, Lydia Y. Chen (2026), Adaptive Differential Privacy Noise Injection for Decentralized Federated Learning of Visual Recognition Tasks, In International Journal of Computer Vision Volume 134.

D. Kažemaks, L. Versluis, B. K. Ozkan, J. Decouchant (2026), Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling, In SoCC 2025 - Proceedings of the 2025 ACM Symposium on Cloud Computing p.867-880, Association for Computing Machinery (ACM).

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.

Abele Mălan, Thiago Guzella, Jérémie Decouchant, Lydia Chen (2026), CCBNet: Confidential Collaborative Bayesian Networks Inference, Christina Garman, Pedro Moreno-Sanchez (Eds.), In Financial Cryptography and Data Security - 29th International Conference, FC 2025, Revised Selected Papers p.383-400, Springer.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2026), ConvertNet: Training-time Model Scaling for In-vehicle Continuous Learning, In IEEE Transactions on Mobile Computing Volume 25 p.10438-10454.

K. Psarakis (2026), Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows, PhD Thesis Delft University of Technology.

J. Huang (2026), Detecting Vulnerabilities of Heterogeneous Federated Learning Systems, PhD Thesis Delft University of Technology.

Jonathan Arns, Harald Ng, K. Psarakis, A Katsifodimos, Paris Carbone (2026), Event Horizon: Asymmetric Dependencies for Fast Geo-Distributed Operations.

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.

Hua Wang, Shaoxiong Wang, Lianhua Wang, Rui Wang (2026), FLAB: Exploring anomaly bias in backdoor attacks, In Expert Systems with Applications Volume 300.