Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos (2024), Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks, Foteini Baldimtsi, Christian Cachin (Eds.), In Financial Cryptography and Data Security - 27th International Conference, FC 2023, Revised Selected Papers p.200-217, Springer.

Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2024), FedViT: Federated continual learning of vision transformer at edge, In Future Generation Computer Systems Volume 154 p.1-15.

J. Xu, C. Hong, J. Huang, Lydia Y. Chen, J.E.A.P. Decouchant (2023), AGIC: Approximate Gradient Inversion Attack on Federated Learning, Cristina Ceballos, Hector Torres (Eds.), In 41st International Symposium on Reliable Distributed Systems (SRDS 2022 ) p.12-22.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2023), EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge, In Proceedings of the 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023 p.3643-3646, IEEE .

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, IEEE .

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.

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.