Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing. - Zeyu Meng; Hongli Xu; Min Chen 033; Yang Xu 020; Yangming Zhao; Chunming Qiao (INFOCOM, 2021)

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks. - Hongli Xu; Min Chen 033; Zeyu Meng; Yang Xu 020; Lun Wang; Chunming Qiao (IEEE J. Sel. Areas Commun., 2022)

Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. - Min Chen 033; Haichuan Wang; Zeyu Meng; Hongli Xu; Yang Xu 020; Jianchun Liu; He Huang 001 (IEEE Trans. Mob. Comput., 2022)

Attention-Based Gait Recognition and Walking Direction Estimation in Wi-Fi Networks. - Yang Xu 020; Wei Yang 011; Min Chen 033; Sheng Chen; Liusheng Huang (IEEE Trans. Mob. Comput., 2022)

Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. - Min Chen 033; Yang Xu 020; Hongli Xu; Liusheng Huang (ICDE, 2023)

Robust Task Offloading in Dynamic Edge Computing. - Haibo Wang 004; Hongli Xu; He Huang 001; Min Chen 033; Shigang Chen (IEEE Trans. Mob. Comput., 2023)

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing. - Lun Wang; Yang Xu 020; Hongli Xu; Min Chen 033; Liusheng Huang (IEEE Trans. Mob. Comput., 2023)

Distributed Strategy for Collaborative Traffic Measurement in a Multi-Controller SDN. - Da Yao; Qianpiao Ma; Haibo Wang 004; Min Chen 033; Hongli Xu (IEEE Trans. Netw. Sci. Eng., 2024)

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing. - Lun Wang; Yang Xu 020; Hongli Xu; Zhida Jiang; Min Chen 033; Wuyang Zhang; Chen Qian 001 (IEEE/ACM Trans. Netw., 2024)

Asynchronous Decentralized Federated Learning for Heterogeneous Devices. - Yunming Liao; Yang Xu 020; Hongli Xu; Min Chen 033; Lun Wang; Chunming Qiao (IEEE/ACM Trans. Netw., 2024)

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing. - Jianchun Liu; Jun Liu 083; Hongli Xu; Yunming Liao; Zhiwei Yao; Min Chen 033; Chen Qian 001 (IEEE Trans. Mob. Comput., 2025)