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 | 168 | 2021 |
FedSA: A semi-asynchronous federated learning mechanism in heterogeneous edge computing Q Ma, Y Xu, H Xu, Z Jiang, L Huang, H Huang IEEE Journal on Selected Areas in Communications 39 (12), 3654-3672, 2021 | 163 | 2021 |
Adaptive asynchronous federated learning in resource-constrained edge computing J Liu, H Xu, L Wang, Y Xu, C Qian, J Huang, H Huang IEEE Transactions on Mobile Computing 22 (2), 674-690, 2021 | 132 | 2021 |
Incremental deployment and throughput maximization routing for a hybrid SDN H Xu, XY Li, L Huang, H Deng, H Huang, H Wang IEEE/ACM Transactions on Networking 25 (3), 1861-1875, 2017 | 117 | 2017 |
Offloading tasks with dependency and service caching in mobile edge computing G Zhao, H Xu, Y Zhao, C Qiao, L Huang IEEE Transactions on Parallel and Distributed Systems 32 (11), 2777-2792, 2021 | 103 | 2021 |
Mutual information optimally local private discrete distribution estimation S Wang, L Huang, P Wang, Y Nie, H Xu, W Yang, XY Li, C Qiao arXiv preprint arXiv:1607.08025, 2016 | 98 | 2016 |
Offloading dependent tasks in mobile edge computing with service caching G Zhao, H Xu, Y Zhao, C Qiao, L Huang IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1997-2006, 2020 | 92 | 2020 |
Fuzzy-logic-based energy optimized routing for wireless sensor networks H Jiang, Y Sun, R Sun, H Xu International Journal of Distributed Sensor Networks 9 (8), 216561, 2013 | 89 | 2013 |
Local differential private data aggregation for discrete distribution estimation S Wang, L Huang, Y Nie, X Zhang, P Wang, H Xu, W Yang IEEE Transactions on Parallel and Distributed Systems 30 (9), 2046-2059, 2019 | 79 | 2019 |
An adaptive collision-free MAC protocol based on TDMA for inter-vehicular communication W Guo, L Huang, L Chen, H Xu, J Xie 2012 International Conference on Wireless Communications and Signal …, 2012 | 72 | 2012 |
Adaptive Batch Size for Federated Learning in Resource-Constrained Edge Computing ZMYXHXZMLHY Xue IEEE Transactions on Mobile Computing 22 (1), pp. 37-53, 2023 | 69 | 2023 |
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 | 69 | 2022 |
PPS: Privacy-preserving strategyproof social-efficient spectrum auction mechanisms H Huang, XY Li, Y Sun, H Xu, L Huang IEEE Transactions on Parallel and Distributed Systems 26 (5), 1393-1404, 2014 | 65 | 2014 |
Adaptive control of local updating and model compression for efficient federated learning Y Xu, Y Liao, H Xu, Z Ma, L Wang, J Liu IEEE Transactions on Mobile Computing 22 (10), 5675-5689, 2022 | 63 | 2022 |
Minimizing flow statistics collection cost of SDN using wildcard requests H Xu, Z Yu, C Qian, XY Li, Z Liu IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 62 | 2017 |
Wireless sensor networks for intensive irrigated agriculture Y Wang, L Huang, J Wu, H Xu 2007 4th IEEE Consumer Communications and Networking Conference, 197-201, 2007 | 60 | 2007 |
Bandwidth-Power Aware Cooperative Multipath Routing for Wireless Multimedia Sensor Networks H Xu, L Huang, C Qiao, Y Zhang, Q Sun Wireless Communications, IEEE Transactions on 11 (4), 1532-1543, 2012 | 59 | 2012 |
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 | 58 | 2022 |
Load-balancing routing in software defined networks with multiple controllers H Wang, H Xu, L Huang, J Wang, X Yang Computer Networks 141, 82-91, 2018 | 57 | 2018 |
Accelerating decentralized federated learning in heterogeneous edge computing L Wang, Y Xu, H Xu, M Chen, L Huang IEEE Transactions on Mobile Computing 22 (9), 5001-5016, 2022 | 54 | 2022 |