Yin Xu

According to our database, Yin Xu authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation.

Haotian Xu, Jinrui Zhou, Xichong Zhang, Mingjun Xiao, He Sun, Yin Xu

CoRR, July, 2025

Enhancing Decentralized Federated Learning With Model Pruning and Adaptive Communication.

Yin Xu, Mingjun Xiao, Jie Wu, Guoju Gao, Datian Li, Haotian Xu, Tongxiao Zhang

IEEE Trans. Ind. Informatics, January, 2025

PSFL: Parallel-Sequential Federated Learning with Convergence Guarantees.

Jinrui Zhou, Yu Zhao, Yin Xu, Mingjun Xiao, Jie Wu, Sheng Zhang

Proceedings of the IEEE INFOCOM 2025, 2025

Online Federated Learning on Distributed Unknown Data Using UAVs.

Xichong Zhang, Haotian Xu, Yin Xu, Mingjun Xiao, Jie Wu, Jinrui Zhou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Federated Learning Framework with Personalized Model Compression and Privacy Protection.

Chenlin Ding, Mingjun Xiao, Yin Xu, Jie Wu

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

Crowdsensing Data Trading for Unknown Market: Privacy, Stability, and Conflicts.

He Sun, Mingjun Xiao, Yin Xu, Guoju Gao, Shu Zhang

IEEE Trans. Mob. Comput., December, 2024

Privacy Preserving Task Push in Spatial Crowdsourcing With Unknown Popularity.

Yin Xu, Mingjun Xiao, Jie Wu, He Sun

IEEE Trans. Parallel Distributed Syst., November, 2024

AoI-Guaranteed Incentive Mechanism for Mobile Crowdsensing With Freshness Concerns.

Yin Xu, Mingjun Xiao, Yu Zhu, Jie Wu, Sheng Zhang, Jinrui Zhou

IEEE Trans. Mob. Comput., May, 2024

Age-of-Information-Aware Federated Learning.

Yin Xu, Mingjun Xiao, Chen Wu, Jie Wu, Jinrui Zhou, He Sun

J. Comput. Sci. Technol., May, 2024

A Personalized Privacy Preserving Mechanism for Crowdsourced Federated Learning.

Yin Xu, Mingjun Xiao, Jie Wu, Haisheng Tan, Guoju Gao

IEEE Trans. Mob. Comput., February, 2024

Optimizing Data-Driven Federated Learning in UAV Networks.

Datian Li, Mingjun Xiao, Yin Xu, Jie Wu

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach.

Yin Xu, Xichong Zhang, Mingjun Xiao, Jie Wu, An Liu, Sheng Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Incentive Mechanism for Spatial Crowdsourcing With Unknown Social-Aware Workers: A Three-Stage Stackelberg Game Approach.

Yin Xu, Mingjun Xiao, Jie Wu, Sheng Zhang, Guoju Gao

IEEE Trans. Mob. Comput., August, 2023

Offloading Tasks to Unknown Edge Servers: A Contextual Multi-Armed Bandit Approach.

Shu Zhang, Mingjun Xiao, Guoju Gao, Yin Xu, He Sun

Proceedings of the IEEE INFOCOM 2023, 2023

AoI-aware Incentive Mechanism for Mobile Crowdsensing using Stackelberg Game.

Mingjun Xiao, Yin Xu, Jinrui Zhou, Jie Wu, Sheng Zhang, Jun Zheng

Proceedings of the IEEE INFOCOM 2023, 2023

Privacy-preserving Stable Crowdsensing Data Trading for Unknown Market.

He Sun, Mingjun Xiao, Yin Xu, Guoju Gao, Shu Zhang

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Incentive Mechanism for Differentially Private Federated Learning in Industrial Internet of Things.

Yin Xu, Mingjun Xiao, Haisheng Tan, An Liu, Guoju Gao, Zhaoyang Yan

IEEE Trans. Ind. Informatics, 2022

Edge Resource Prediction and Auction for Distributed Spatial Crowdsourcing With Differential Privacy.

Yin Xu, Mingjun Xiao, An Liu, Jie Wu

IEEE Internet Things J., 2022

Task Offloading in Fog: A Matching-driven Multi-User Multi-Armed Bandit Approach.

Qing Zhang, Mingjun Xiao, Yin Xu

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

Dynamic Unknown Worker Recruitment for Heterogeneous Contextual Labeling Tasks Using Adversarial Multi-Armed Bandit.

Wucheng Xiao, Mingjun Xiao, Yin Xu

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

2021

FedDCS: Federated Learning Framework based on Dynamic Client Selection.

Shutong Zou, Mingjun Xiao, Yin Xu, Baoyi An, Jun Zheng

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Blockchain-Based Double Auction for Edge Cloud Resource Trading with Differential Privacy.

Jie Huang, Yin Xu, Baoyi An, Mingjun Xiao

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020

Differentially Private Resource Auction in Distributed Spatial Crowdsourcing.

Yin Xu, Mingjun Xiao, Xiang Zou, An Liu

Proceedings of the Database Systems for Advanced Applications, 2020