Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2023), FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge, In Proceedings of the 2023 IEEE 39th International Conference on Data Engineering (ICDE) p.341-354, IEEE.

Zilong Zhao, Robert Birke, Lydia Y. Chen (2023), GDTS: GAN-Based Distributed Tabular Synthesizer, L. O'Conner (Eds.), In Proceedings of the 2023 IEEE 16th International Conference on Cloud Computing (CLOUD) p.570-576, IEEE.

Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos (2023), Maverick Matters: Client Contribution and Selection in Federated Learning, Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng (Eds.), In Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Proceedings p.269-282, Springer.

Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen (2023), Robust Learning via Golden Symmetric Loss of (un)Trusted Labels, In 2023 SIAM International Conference on Data Mining, SDM 2023 p.568-576, Society for Industrial and Applied Mathematics.

B.A. Cox, Lydia Y. Chen, J.E.A.P. Decouchant (2022), Aergia: leveraging heterogeneity in federated learning systems, In Middleware '22: Proceedings of the 23rd conference on 23rd ACM/IFIP International Middleware Conference p.107–120.

Stefanos Laskaridis, Mario Almeida, Jon Crowcroft, Ang Li, Lydia Y. Chen (2022), DistributedML 2022: Chairs' Welcome Message, DistributedML 2022 - Proceedings of the 3rd International Workshop on Distributed Machine Learning, Part of CoNEXT 2022 p.II.

Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Chen (2022), EDGETUNE: Inference-Aware Multi-Parameter Tuning, In Middleware 2022 - Proceedings of the 23rd ACM/IFIP International Middleware Conference p.1-14, Association for Computing Machinery (ACM).

Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen (2022), EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources, In INFOCOM 2022 - IEEE Conference on Computer Communications p.880-889, IEEE.

Federico Lucchetti, Maria Fernandes, Lydia Y. Chen, J.E.A.P. Decouchant, Marcus Völp (2022), Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets.

Jianxin Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang (2022), Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge, In IEEE Transactions on Services Computing Volume 15 p.614-626.