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.

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.

Yiyu Chen, Jérémie Decouchant, A. Shankar (2025), Vertically federated training of a machine learning model used by different participants for configuring a semiconductor manufacturing process.

Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Chen (2024), SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models, In Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024 p.110-123.