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.

Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel (2022), Federated Learning for Tabular Data: Exploring Potential Risk to Privacy, Cristina Ceballos (Eds.), In Proceedings of the 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE) p.193-204.

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.

Qinglong Zhang, Rui Han, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2022), Lightweight and Accurate DNN-Based Anomaly Detection at Edge, In IEEE Transactions on Parallel and Distributed Systems Volume 33 p.2927-2942.

Bart Cox, Robert Birke, Lydia Y. Chen (2022), Memory-aware and context-aware multi-DNN inference on the edge, In Pervasive and Mobile Computing Volume 83.

Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen (2022), Multi Label Loss Correction against Missing and Corrupted Labels, In Proceedings of Machine Learning Research p.359-374.

Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen (2022), Permutation-Invariant Tabular Data Synthesis, Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan (Eds.), In Proceedings of the 2022 IEEE International Conference on Big Data (Big Data) p.5855-5864.

MacIej Styczen, Bing Jyue Chen, Ya Wen Teng, Yvonne Anne Pignolet, Lydia Chen, De Nian Yang (2022), Targeted Influence with Community and Gender-Aware Seeding, In CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management p.4515-4519, Association for Computing Machinery (ACM).

Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen (2022), Trusted Loss Correction for Noisy Multi-Label Learning, In Proceedings of Machine Learning Research p.343-358.

Rui Han, Shilin Li, Xiangwei Wang, Chi Harold Liu, Gaofeng Xin, Lydia Y. Chen (2021), Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms, In IEEE Transactions on Parallel and Distributed Systems Volume 32 p.1591-1602.