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2020 – today
- 2026
[j15]Dewen Qiao
, Zhenyan Wang, Jiamiao Liu, Xuetao Chen, Di Zhang, Maolan Zhang:
EECF: An edge-end collaborative framework with optimized lightweight model. Expert Syst. Appl. 297: 129319 (2026)- 2025
- [j14]Dewen Qiao, Songtao Guo, Xuetao Chen, Pengzhan Zhou, Di Zhang, Yu Zhang:
EMAFL: Evolutionary Momentum Auxiliary Adaptive Accelerating Federated Learning. IEEE Internet Things J. 12(9): 13061-13074 (2025) - [j13]Yihao Wang, Yu Zhang, Dewen Qiao, Songtao Guo, Yu Liu, Chenhao Zhao, Tao Gu, Qiaoqiao Ding, Xiaoqun Zhang, Xuetao Chen:
EESyn-CTP: Edge-End Collaboration for Patient-Friendly CTP Image Synthesis. IEEE Internet Things J. 12(15): 31385-31398 (2025) - [j12]Peng Pi, Dewen Qiao, Hongli Zhang:
REAFL: Accelerating federated learning with personalized iteration allocation and peer learning. Phys. Commun. 73: 102861 (2025) - [j11]Dewen Qiao, Xiang Ao, Yu Liu, Xuetao Chen, Fuyuan Song, Zheng Qin, Wenqiang Jin:
Tri-AFLLM: Resource-Efficient Adaptive Asynchronous Accelerated Federated LLMs. IEEE Trans. Circuits Syst. Video Technol. 35(5): 4198-4211 (2025) - [j10]Dewen Qiao, Songtao Guo, Jun Zhao, Junqing Le, Pengzhan Zhou, Mingyan Li, Xuetao Chen:
ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing. IEEE Trans. Mob. Comput. 24(4): 3390-3406 (2025) - [j9]Dewen Qiao, Liangxin Qian, Songtao Guo, Jun Zhao, Pengzhan Zhou:
AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications. IEEE Trans. Neural Networks Learn. Syst. 36(5): 7888-7902 (2025) - [c6]Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao, Lu Yang:
Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning. ICDCS 2025: 714-724 - [c5]Xiang Ao, Maolan Zhang, Zhenyan Wang, Jiamiao Liu, Yu Zhang, Xuetao Chen, Dewen Qiao:
Resources-Efficient Accelerated K-Asynchronous Adaptive Federated Learning. IJCNN 2025: 1-8 - [i1]Manning Zhu, Songtao Guo, Pengzhan Zhou, Yansong Ning, Chang Han, Dewen Qiao:
FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment. CoRR abs/2508.12727 (2025) - 2024
- [j8]Yuyan Quan, Songtao Guo, Dewen Qiao, Mingyan Li:
Afl-gan: adaptive federated learning for generative adversarial network with resource constraints. CCF Trans. Pervasive Comput. Interact. 6(1): 1-17 (2024) - [j7]Dewen Qiao, Pengzhan Zhou, Mingyan Li, Songtao Guo:
Parameters optimization and precision enhancement of Takagi-Sugeno fuzzy neural network. Soft Comput. 28(17-18): 9509-9520 (2024) - [j6]Yingcheng Wang, Songtao Guo, Dewen Qiao, Guiyan Liu, Mingyan Li:
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3678-3690 (2024) - [j5]Dewen Qiao, Mingyan Li, Songtao Guo, Jun Zhao, Bin Xiao:
Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT. IEEE Trans. Netw. Sci. Eng. 11(4): 3639-3652 (2024) - [c4]Yuyan Quan, Songtao Guo, Dewen Qiao:
RCFL-GAN: Resource-Constrained Federated Learning with Generative Adversarial Networks. CSCWD 2024: 513-518 - [c3]Kunhong He, Pengzhan Zhou, Yijun Zhai, Yuepeng He, Lin Tan, Dewen Qiao, Songtao Guo:
HfedPES: Hierarchical Personalized Federated Learning with Edge Selection. MSN 2024: 884-891 - [c2]Longzhi Dai, Songtao Guo, Guiyan Liu, Dewen Qiao:
Reliability-Aware SFC Scheduling in Container Environment via Priority-Based Node Selection. MSN 2024: 900-907 - 2023
- [c1]Yingcheng Wang, Songtao Guo, Dewen Qiao:
FedSG: Subgraph Federated Learning on Multiple Non-IID Graphs. MSN 2023: 504-511 - 2022
- [j4]Jing He, Songtao Guo, Dewen Qiao, Lin Yi:
HeteFL: Network-Aware Federated Learning Optimization in Heterogeneous MEC-Enabled Internet of Things. IEEE Internet Things J. 9(15): 14073-14086 (2022) - [j3]Dewen Qiao, Guiyan Liu, Songtao Guo, Jing He:
Adaptive Federated Learning for Non-Convex Optimization Problems in Edge Computing Environment. IEEE Trans. Netw. Sci. Eng. 9(5): 3478-3491 (2022) - [j2]Dewen Qiao, Songtao Guo, Defang Liu, Saiqin Long, Pengzhan Zhou, Zhetao Li:
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 4767-4782 (2022) - 2020
- [j1]Dewen Qiao, Nankun Mu, Xiaofeng Liao, Junqing Le, Fan Yang:
Improved evolutionary algorithm and its application in PID controller optimization. Sci. China Inf. Sci. 63(9): 1-3 (2020)
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