Federated Neural Architecture Search Evolution and Open Problems: An Overview. - Detian Liu; Yang Cao 022 (BIC-TA (2), 2021)

pFedBEA: Combatting Data Heterogeneity for Personalized Federated Learning by Body Exchange and Aggregation Abandon. - Jianyu He; Detian Liu; Shiqiang Zhang; Shujie Ge; Yang Cao 022; Hengliang Tang (IJCNN, 2024)

FedAMKD: Adaptive Mutual Knowledge Distillation Federated Learning Approach for Data Quantity-Skewed Heterogeneity. - Shujie Ge; Detian Liu; Yongli Yang; Jianyu He; Shiqiang Zhang; Yang Cao (SMC, 2024)

T-FedHA: A Trusted Hierarchical Asynchronous Federated Learning Framework for Internet of Things. - Yang Cao 022; Detian Liu; Shiqiang Zhang; Tongjuan Wu; Fei Xue; Hengliang Tang (Expert Syst. Appl., 2024)

Edge-assisted U-shaped split federated learning with privacy-preserving for Internet of Things. - Shiqiang Zhang; Zihang Zhao; Detian Liu; Yang Cao 022; Hengliang Tang; Siqing You (Expert Syst. Appl., 2025)

Edge-assisted U-shaped split federated spatial-temporal attention GCN for traffic flow prediction. - Fujie Ren; Detian Liu; Haibin Liu; Yang Cao 022 (Future Gener. Comput. Syst., 2026)