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Zijia Mo
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2020 – today
- 2024
- [j6]Xinlei Yu
, Zhipeng Gao, Chen Zhao, Yan Qiao, Ze Chai, Zijia Mo, Yang Yang:
DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. J. Syst. Archit. 156: 103280 (2024) - [c18]Zhipeng Gao, Shu Yang, Xinlei Yu, Zijia Mo, Lanlan Rui, Yang Yang:
Classifier Reuse-Based Contrastive Knowledge Distillation. EDGE 2024: 121-127 - 2023
- [j5]Chen Zhao
FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach. Future Gener. Comput. Syst. 138: 52-60 (2023) - [j4]Zijia Mo
IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence. Future Gener. Comput. Syst. 148: 436-445 (2023) - [j3]Chen Zhao
FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things. IEEE Internet Things J. 10(15): 13601-13611 (2023) - [c17]Xinlei Yu, Zhipeng Gao, Chen Zhao, Zijia Mo:
FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. ICA3PP (1) 2023: 360-379 - [c16]Zhipeng Gao, Shan Sun, Zijia Mo, Lanlan Rui, Yang Yang:
Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing. ICC 2023: 6633-6638 - [c15]Zijia Mo, Zhipeng Gao, Chen Zhao, Xinlei Yu, Kaile Xiao:
Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks. WCNC 2023: 1-6 - 2022
- [j2]Chen Zhao
AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT. IEEE Internet Things J. 9(18): 17080-17088 (2022) - [j1]Zijia Mo
FedDQ: A communication-efficient federated learning approach for Internet of Vehicles. J. Syst. Archit. 131: 102690 (2022) - [c14]Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu:
FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. CollaborateCom (1) 2022: 115-134 - [c13]Zhipeng Gao, Futeng Feng, Zijia Mo, Zijian Xiong, Yang Yang:
FedACL: Federated Multi-Distillation with Auxiliary Classification Layers in IoT. HPCC/DSS/SmartCity/DependSys 2022: 1208-1215 - [c12]Zhipeng Gao, Yan Yang, Chen Zhao, Zijia Mo:
CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization. MSN 2022: 171-177 - [c11]Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu:
FedGAN: A Federated Semi-supervised Learning from Non-IID Data. WASA (2) 2022: 181-192 - 2021
- [c10]Zhipeng Gao, Shan Sun, Yinghan Zhang, Zijia Mo, Chen Zhao:
EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters. ICA3PP (2) 2021: 317-333 - [c9]Yijing Lin, Zhipeng Gao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang, Lanlan Rui, Haisheng Guo, Dezheng Wang:
A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing. ICC 2021: 1-6 - [c8]Zhipeng Gao, Zijian Zhuang, Yijing Lin, Lanlan Rui, Yang Yang, Chen Zhao, Zijia Mo:
Select-Storage: A New Oracle Design Pattern on Blockchain. TrustCom 2021: 1177-1184 - [c7]Zhipeng Gao, Chenhao Qiu, Chen Zhao, Yang Yang, Zijia Mo, Yijing Lin:
FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation. TrustCom 2021: 1445-1451 - [c6]Zhipeng Gao, Dong Miao, Langcheng Zhao, Zijia Mo, Guangpeng Qi, Liang Yan:
Triple-partition Network: Collaborative Neural Network based on the 'End Device-Edge-Cloud'. WCNC 2021: 1-7 - [i1]Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen:
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework. CoRR abs/2104.12086 (2021)
2010 – 2019
- 2019
- [c5]Zhipeng Gao, Congcong Yao, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang:
A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing. FiCloud 2019: 9-16 - [c4]Zhipeng Gao, Xinyue Zheng, Kaile Xiao, Qian Wang, Zijia Mo:
A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation. ICA3PP (2) 2019: 245-260 - [c3]Zhipeng Gao, Wensi Zhao, Chenxi Xia, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang:
A Credible and Lightweight Multidimensional Trust Evaluation Mechanism for Service-Oriented IoT Edge Computing Environment. ICIOT 2019: 156-164 - [c2]Zhipeng Gao, Qidong Jiao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang:
Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing. SOSE 2019 - [c1]Kaile Xiao, Zhipeng Gao, Congcong Yao, Qian Wang, Zijia Mo, Yang Yang:
Task Offloading and Resources Allocation based on Fairness in Edge Computing. WCNC 2019: 1-6
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last updated on 2024-12-02 22:34 CET by the dblp team
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