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ORCIDMiao Zhang 0037
Person information
Other persons with the same name
- Miao Zhang — disambiguation page
- Miao Zhang 0001
![[0000-0001-9428-0573]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9428-0573")
— Harbin Institute of Technology, Department of Control Science and Engineering, China - Miao Zhang 0002 — Institute of Remote Sensing and Digital Earth, Division of Digital Agriculture, Beijing, China (and 1 more)
- Miao Zhang 0003 — Simon Fraser University, BC, Canada (and 1 more)
- Miao Zhang 0004 — Dalian University of Technology, School of Information Science and Engineering, Dalian, China (and 1 more)
- Miao Zhang 0005 — University of Windsor, Ontario, Canada
- Miao Zhang 0006 — Karlsruhe University, Germany
- Miao Zhang 0007
- Miao Zhang 0008
- Miao Zhang 0009
- Miao Zhang 0010
- Miao Zhang 0011
- Miao Zhang 0012
- Miao Zhang 0013
- Miao Zhang 0014
- Miao Zhang 0015
- Miao Zhang 0016
- Miao Zhang 0017
- Miao Zhang 0018
- Miao Zhang 0019
- Miao Zhang 0020
- Miao Zhang 0021
- Miao Zhang 0022
- Miao Zhang 0023
- Miao Zhang 0024
- Miao Zhang 0025
- Miao Zhang 0026
- Miao Zhang 0027
- Miao Zhang 0028
- Miao Zhang 0029
- Miao Zhang 0030
- Miao Zhang 0031
- Miao Zhang 0032
- Miao Zhang 0033
- Miao Zhang 0034
- Miao Zhang 0035
- Miao Zhang 0036
- Miao Zhang 0038
- Miao Zhang 0039
- Miao Zhang 0040
- Miao Zhang 0041
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Journal Articles
- 2025
[j6]Ji Wang, Miao Zhang, Quanjun Yin, Lujia Yin, Yong Peng:
Multi-agent reinforcement learning for task offloading with hybrid decision space in multi-access edge computing. Ad Hoc Networks 166: 103671 (2025)- [j5]Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen:
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. Neural Networks 184: 107084 (2025) - [j4]Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao:
Asymmetrically Decentralized Federated Learning. IEEE Trans. Computers 74(8): 2745-2756 (2025) - 2024
- [j3]Hailiang Chen, Zhu Xiang, Lujia Yin, Miao Zhang, Quanjun Yin:
Low-Cost, High-Reliability Deployment for Cloud Applications With Low-Frequency Periodic Requests. IEEE Trans. Serv. Comput. 17(6): 3901-3913 (2024) - 2022
- [j2]Miao Zhang, Yong Peng, Jiancheng Zhu, Quanjun Yin:
Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments. IEEE Trans. Parallel Distributed Syst. 33(12): 3442-3459 (2022) - 2021
- [j1]Miao Zhang, Yong Peng, Mei Yang, Quanjun Yin, Xu Xie:
A discrete PSO-based static load balancing algorithm for distributed simulations in a cloud environment. Future Gener. Comput. Syst. 115: 497-516 (2021)
Conference and Workshop Papers
- 2023
- [c2]Mengyao Du, Miao Zhang, Lin Liu, Kai Xu, Quanjun Yin:
Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain. ICPP 2023: 452-461 - 2022
- [c1]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP 2022: 8:1-8:11
Informal and Other Publications
- 2024
- [i6]Mengyao Du, Miao Zhang, Yuwen Pu, Kai Xu, Shouling Ji, Quanjun Yin:
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness. CoRR abs/2401.14027 (2024) - [i5]Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen:
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. CoRR abs/2410.06482 (2024) - [i4]Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao:
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. CoRR abs/2410.07272 (2024) - 2023
- [i3]Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen:
Deep Model Fusion: A Survey. CoRR abs/2309.15698 (2023) - [i2]Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen:
Asymmetrically Decentralized Federated Learning. CoRR abs/2310.05093 (2023) - 2022
- [i1]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR abs/2206.10546 (2022)
Coauthor Index
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