FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID Data. - Jian-Hui Duan; Wenzhong Li; Sanglu Lu (ECML/PKDD (1), 2021)

FedMC: Federated Reinforcement Learning on the Edge with Meta-Critic Networks. - Derun Zou; Xusheng Liu; Lintan Sun; Jian-Hui Duan; Ruichen Li; Yeting Xu; Wenzhong Li; Sanglu Lu (IPCCC, 2022)

Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements. - Jian-Hui Duan; Wenzhong Li; Xiao Zhang 015; Sanglu Lu (Comput. Networks, 2022)

Federated Learning with Data-Agnostic Distribution Fusion. - Jian-Hui Duan; Wenzhong Li; Derun Zou; Ruichen Li; Sanglu Lu (CVPR, 2023)

Time-Varying Gaussian Markov Random Fields Learning for Multivariate Time Series Clustering. - Wangxiang Ding; Wenzhong Li; Zhijie Zhang; Chen Wan; Jian-Hui Duan; Sanglu Lu (IEEE Trans. Knowl. Data Eng., 2023)