Zijia Mo

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Unsupervised Learning

Optimal Resource Allocation

Top Venues

Future Gener. Comput. Syst.

Publications

Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen
FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach. Future Gener. Comput. Syst. 138 (2023)
Chen Zhao, Zhipeng Gao, Yang Yang, Qian Wang, Zijia Mo, Xinlei Yu
FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things. IEEE Internet Things J. 10 (15) (2023)
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)
Zijia Mo, Zhipeng Gao, Kaile Xiao, Chen Zhao, Xinlei Yu
IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence. Future Gener. Comput. Syst. 148 (2023)
Zhipeng Gao, Shan Sun, Zijia Mo, Lanlan Rui, Yang Yang
Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing. ICC (2023)
Xinlei Yu, Zhipeng Gao, Chen Zhao, Zijia Mo
FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning. ICA3PP (1) (2023)
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)
Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu
FedGAN: A Federated Semi-supervised Learning from Non-IID Data. WASA (2) (2022)
Zhipeng Gao, Yan Yang, Chen Zhao, Zijia Mo
CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization. MSN (2022)
Zijia Mo, Zhipeng Gao, Chen Zhao, Yijing Lin
FedDQ: A communication-efficient federated learning approach for Internet of Vehicles. J. Syst. Archit. 131 (2022)
Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo
AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT. IEEE Internet Things J. 9 (18) (2022)
Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu
FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT. CollaborateCom (1) (2022)
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 (2021)
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)
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)
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)
Zhipeng Gao, Shan Sun, Yinghan Zhang, Zijia Mo, Chen Zhao
EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters. ICA3PP (2) (2021)
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)
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)
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)
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)
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)
Zhipeng Gao, Qidong Jiao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang
Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing. SOSE (2019)