Zijia Mo

According to our database, Zijia Mo authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data.

Xinlei Yu, Zhipeng Gao, Chen Zhao, Yan Qiao, Ze Chai, Zijia Mo, Yang Yang

J. Syst. Archit., 2024

Classifier Reuse-Based Contrastive Knowledge Distillation.

Zhipeng Gao, Shu Yang, Xinlei Yu, Zijia Mo, Lanlan Rui, Yang Yang

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

2023

IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence.

Zijia Mo, Zhipeng Gao, Kaile Xiao, Chen Zhao, Xinlei Yu

Future Gener. Comput. Syst., November, 2023

FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things.

Chen Zhao, Zhipeng Gao, Yang Yang, Qian Wang, Zijia Mo, Xinlei Yu

IEEE Internet Things J., August, 2023

FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach.

Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen

Future Gener. Comput. Syst., 2023

Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks.

Zijia Mo, Zhipeng Gao, Chen Zhao, Xinlei Yu, Kaile Xiao

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing.

Zhipeng Gao, Shan Sun, Zijia Mo, Lanlan Rui, Yang Yang

Proceedings of the IEEE International Conference on Communications, 2023

FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning.

Xinlei Yu, Zhipeng Gao, Chen Zhao, Zijia Mo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

FedDQ: A communication-efficient federated learning approach for Internet of Vehicles.

Zijia Mo, Zhipeng Gao, Chen Zhao, Yijing Lin

J. Syst. Archit., 2022

AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT.

Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo

IEEE Internet Things J., 2022

FedGAN: A Federated Semi-supervised Learning from Non-IID Data.

Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization.

Zhipeng Gao, Yan Yang, Chen Zhao, Zijia Mo

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

FedACL: Federated Multi-Distillation with Auxiliary Classification Layers in IoT.

Zhipeng Gao, Futeng Feng, Zijia Mo, Zijian Xiong, Yang Yang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT.

Chen Zhao, Zhipeng Gao, Qian Wang, Zijia Mo, Xinlei Yu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework.

Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen

CoRR, 2021

Triple-partition Network: Collaborative Neural Network based on the 'End Device-Edge-Cloud'.

Zhipeng Gao, Dong Miao, Langcheng Zhao, Zijia Mo, Guangpeng Qi, Liang Yan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Select-Storage: A New Oracle Design Pattern on Blockchain.

Zhipeng Gao, Zijian Zhuang, Yijing Lin, Lanlan Rui, Yang Yang, Chen Zhao, Zijia Mo

Proceedings of the 20th IEEE International Conference on Trust, 2021

FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation.

Zhipeng Gao, Chenhao Qiu, Chen Zhao, Yang Yang, Zijia Mo, Yijing Lin

Proceedings of the 20th IEEE International Conference on Trust, 2021

A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing.

Yijing Lin, Zhipeng Gao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang, Lanlan Rui, Haisheng Guo, Dezheng Wang

Proceedings of the ICC 2021, 2021

EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters.

Zhipeng Gao, Shan Sun, Yinghan Zhang, Zijia Mo, Chen Zhao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2019

Task Offloading and Resources Allocation based on Fairness in Edge Computing.

Kaile Xiao, Zhipeng Gao, Congcong Yao, Qian Wang, Zijia Mo, Yang Yang

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing.

Zhipeng Gao, Qidong Jiao, Kaile Xiao, Qian Wang, Zijia Mo, Yang Yang

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

A Credible and Lightweight Multidimensional Trust Evaluation Mechanism for Service-Oriented IoT Edge Computing Environment.

Zhipeng Gao, Wensi Zhao, Chenxi Xia, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang

Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation.

Zhipeng Gao, Xinyue Zheng, Kaile Xiao, Qian Wang, Zijia Mo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing.

Zhipeng Gao, Congcong Yao, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang

Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019