Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing. - Xiaofeng Lu; Yuying Liao; Pietro Liò; Pan Hui 001 (IEEE Access, 2020)

Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping. - Xiaofeng Lu; Yuying Liao; Chao Liu; Pietro Liò; Pan Hui 001 (IEEE Internet Things J., 2022)

PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks. - Le Ma; Yuying Liao; Bin Zhou 004; Wen Xi (World Wide Web (WWW), 2023)

Teacher-informed Expansion of an Idea Detection Model for a Knowledge Integration Assessment. - Weiying Li; Yuying Liao; Kenneth Steimel; Allison Bradford; Libby F. Gerard; Marcia C. Linn (L@S, 2024)

DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. - Yuying Liao; Le Ma; Bin Zhou 004; Xuechen Zhao; Feng Xie 003 (IEEE Trans. Mob. Comput., 2024)

CapsuleBD: A Backdoor Attack Method Against Federated Learning Under Heterogeneous Models. - Yuying Liao; Xuechen Zhao; Bin Zhou; Yanyi Huang (IEEE Trans. Inf. Forensics Secur., 2025)