Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. - Zhiyuan Wang 002; Hongli Xu; Jianchun Liu; He Huang 001; Chunming Qiao; Yangming Zhao (INFOCOM, 2021)

DNN Inference Acceleration with Partitioning and Early Exiting in Edge Computing. - Chao Li; Hongli Xu; Yang Xu 020; Zhiyuan Wang 002; Liusheng Huang (WASA (1), 2021)

Communication-efficient asynchronous federated learning in resource-constrained edge computing. - Jianchun Liu; Hongli Xu; Yang Xu 020; Zhenguo Ma; Zhiyuan Wang 002; Chen Qian 001; He Huang 001 (Comput. Networks, 2021)

FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chunming Qiao; Yangming Zhao (ICDE, 2022)

Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. - Jianchun Liu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiyuan Wang 002; He Huang 001 (ICDE, 2022)

Enhancing Federated Learning with In-Cloud Unlabeled Data. - Lun Wang; Yang Xu 020; Hongli Xu; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (ICDE, 2022)

Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001 (CoRR, 2022)

Accelerating Hierarchical Federated Learning with Adaptive Aggregation Frequency in Edge Computing. - Suo Chen; Zhenguo Ma; Zhiyuan Wang 002 (CNIOT, 2023)

Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001 (INFOCOM, 2023)

Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation. - Qingmin Zeng; Jianchun Liu; Hongli Xu; Zhiyuan Wang 002; Yang Xu 020; Yangming Zhao (IWQoS, 2023)

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing. - Zhiyuan Wang 002; Hongli Xu; Yang Xu 020; Zhida Jiang; Jianchun Liu (Comput. Networks, 2023)

Efficient Semi-Supervised Federated Learning for Heterogeneous Participants. - Zhipeng Sun; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002 (CoRR, 2023)

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation. - Zhiyuan Wang 002; Hongli Xu; Jianchun Liu; Yang Xu 020; He Huang 001; Yangming Zhao (IEEE Trans. Mob. Comput., 2023)

Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Chunming Qiao (ICDE, 2024)

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning. - Jianchun Liu; Qingmin Zeng; Hongli Xu; Yang Xu 020; Zhiyuan Wang 002; He Huang 001 (IEEE/ACM Trans. Netw., 2024)

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. - Zhiyuan Wang 002; Hongli Xu; Yang Xu 020; Zhida Jiang; Jianchun Liu; Suo Chen (IEEE Trans. Parallel Distributed Syst., 2024)

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Jianchun Liu; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. - Yang Xu 020; Lun Wang; Hongli Xu; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (IEEE Trans. Mob. Comput., 2024)

YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. - Jun Liu 083; Jianchun Liu; Hongli Xu; Yunming Liao; Zhiyuan Wang 002; Qianpiao Ma (IEEE/ACM Trans. Netw., 2024)

Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search. - Jianchun Liu; Jiaming Yan; Hongli Xu; Zhiyuan Wang 002; Jinyang Huang; Yang Xu 020 (IEEE Trans. Mob. Comput., 2024)

Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems. - Yang Xu 020; Zhida Jiang; Hongli Xu; Zhiyuan Wang 002; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Enhancing Decentralized and Personalized Federated Learning With Topology Construction. - Suo Chen; Yang Xu 020; Hongli Xu; Zhenguo Ma; Zhiyuan Wang 002 (IEEE Trans. Mob. Comput., 2024)

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation. - Zhida Jiang; Yang Xu 020; Hongli Xu; Zhiyuan Wang 002; Jianchun Liu; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing. - Jiaming Yan; Jianchun Liu; Hongli Xu; Zhiyuan Wang 002; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data. - Yang Xu 020; Ying Zhu; Zhiyuan Wang 002; Hongli Xu; Yunming Liao (IEEE Trans. Serv. Comput., 2025)

Hier-FUN: Hierarchical Federated Learning and Unlearning in Heterogeneous Edge Computing. - Zhenguo Ma; Huaqing Tu; Li Zhou; Pengli Ji; Xiaoran Yan; Hongli Xu; Zhiyuan Wang 002; Suo Chen (IEEE Internet Things J., 2025)