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, 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.

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, IEEE.

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.