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Zhiyuan Wang
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Resource-efficient federated learning with hierarchical aggregation in edge computing
Z Wang, H Xu, J Liu, H Huang, C Qiao, Y Zhao
IEEE INFOCOM 2021-IEEE conference on computer communications, 1-10, 2021
1292021
Accelerating federated learning with cluster construction and hierarchical aggregation
Z Wang, H Xu, J Liu, Y Xu, H Huang, Y Zhao
IEEE Transactions on Mobile Computing 22 (7), 3805-3822, 2022
532022
Fedmp: Federated learning through adaptive model pruning in heterogeneous edge computing
Z Jiang, Y Xu, H Xu, Z Wang, C Qiao, Y Zhao
2022 IEEE 38th International Conference on Data Engineering (ICDE), 767-779, 2022
382022
Communication-efficient asynchronous federated learning in resource-constrained edge computing
J Liu, H Xu, Y Xu, Z Ma, Z Wang, C Qian, H Huang
Computer Networks 199, 108429, 2021
252021
Computation and communication efficient federated learning with adaptive model pruning
Z Jiang, Y Xu, H Xu, Z Wang, J Liu, Q Chen, C Qiao
IEEE Transactions on Mobile Computing 23 (3), 2003-2021, 2023
152023
Enhancing federated learning with intelligent model migration in heterogeneous edge computing
J Liu, Y Xu, H Xu, Y Liao, Z Wang, H Huang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 1586-1597, 2022
152022
CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing
Z Wang, H Xu, Y Xu, Z Jiang, J Liu
Computer Networks 220, 109490, 2023
142023
Finch: Enhancing federated learning with hierarchical neural architecture search
J Liu, J Yan, H Xu, Z Wang, J Huang, Y Xu
IEEE Transactions on Mobile Computing, 2023
132023
Enhancing federated learning with in-cloud unlabeled data
L Wang, Y Xu, H Xu, J Liu, Z Wang, L Huang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 136-149, 2022
122022
Yoga: Adaptive layer-wise model aggregation for decentralized federated learning
J Liu, J Liu, H Xu, Y Liao, Z Wang, Q Ma
IEEE/ACM Transactions on Networking, 2023
62023
Adaptive control of client selection and gradient compression for efficient federated learning
Z Jiang, Y Xu, H Xu, Z Wang, C Qian
arXiv preprint arXiv:2212.09483, 2022
52022
Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression
Z Jiang, Y Xu, H Xu, Z Wang, C Qian
IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023
42023
Federated learning with client selection and gradient compression in heterogeneous edge systems
Y Xu, Z Jiang, H Xu, Z Wang, C Qian, C Qiao
IEEE Transactions on Mobile Computing, 2023
32023
Adaptive block-wise regularization and knowledge distillation for enhancing federated learning
J Liu, Q Zeng, H Xu, Y Xu, Z Wang, H Huang
IEEE/ACM Transactions on Networking, 2023
32023
DNN inference acceleration with partitioning and early exiting in edge computing
C Li, H Xu, Y Xu, Z Wang, L Huang
Wireless Algorithms, Systems, and Applications: 16th International …, 2021
32021
FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training
Z Wang, H Xu, Y Xu, Z Jiang, J Liu, S Chen
IEEE Transactions on Parallel and Distributed Systems, 2023
22023
Enhanced federated learning with adaptive block-wise regularization and knowledge distillation
Q Zeng, J Liu, H Xu, Z Wang, Y Xu, Y Zhao
2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), 1-4, 2023
22023
Enhancing federated learning with server-side unlabeled data by adaptive client and data selection
Y Xu, L Wang, H Xu, J Liu, Z Wang, L Huang
IEEE Transactions on Mobile Computing 23 (4), 2813-2831, 2023
22023
Peaches: Personalized federated learning with neural architecture search in edge computing
J Yan, J Liu, H Xu, Z Wang, C Qiao
IEEE Transactions on Mobile Computing, 2024
12024
Semi-Supervised Decentralized Machine Learning with Device-to-Device Cooperation
Z Jiang, Y Xu, H Xu, Z Wang, J Liu, C Qiao
IEEE Transactions on Mobile Computing, 2024
12024
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