Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos (2023), Fabricated Flips: Poisoning Federated Learning without Data, Lisa O'Conner (Eds.), In Proceedings of the 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2023 p.274-287.

Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen (2023), Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs, In Journal of Cloud Computing Volume 12.

Zilong Zhao, Robert Birke, Lydia Y. Chen (2023), FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform, In CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management p.4450–4454, Association for Computing Machinery (ACM).

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.

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.

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.

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).