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Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Chen, Alessandro Bozzon, Rihan Hai (2024), Amalur: The Convergence of Data Integration and Machine Learning, In IEEE Transactions on Knowledge and Data Engineering Volume 36 p.7353-7367.

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.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2024), ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge, In IEEE Transactions on Computers Volume 73 p.1616-1630.

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.

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, IEEE.

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.

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).

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.