Xin Wang

Orcid: 0000-0001-9501-6723

Affiliations:

Qilu University of Technology, China
Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China

According to our database¹, Xin Wang authored at least 19 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

FedSiam-DA: Dual-Aggregated Federated Learning via Siamese Network for Non-IID Data.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., February, 2025

2024

Neural Network-Based State Estimation for Nonlinear Systems with Denial-of-Service Attack Under Try-Once-Discard Protocol.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, October, 2024

Privacy-Preserving Collaborative Learning: A Scheme Providing Heterogeneous Protection.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

Data pricing with privacy loss compensation for cyber-physical systems: A Stackelberg game based approach.

[BibT_eX]

[DOI]

Internet Technol. Lett., 2024

FedTweet: Two-fold Knowledge Distillation for non-IID Federated Learning.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2024

2023

Achieving Physical Layer Security Against Location Unknown Eavesdroppers via Friendly Jammer.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, October, 2023

Resilient Distributed Classification Learning Against Label Flipping Attack: An ADMM-Based Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., September, 2023

Wind Speed Prediction Based on Error Compensation.

[BibT_eX]

[DOI]

Sensors, 2023

Leveraging UAV-RIS Reflects to Improve the Security Performance of Wireless Network Systems.

[BibT_eX]

[DOI]

IEEE Netw. Lett., 2023

2022

Energy-efficient DoS attack against remote state estimation.

[BibT_eX]

[DOI]

Internet Technol. Lett., 2022

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2022

Stealthy Attack Detection for Privacy-preserving Real-time Pricing in Smart Grids.

[BibT_eX]

[DOI]

Proceedings of the 13th Asian Control Conference, 2022

2021

Dynamic Privacy-Aware Collaborative Schemes for Average Computation: A Multi-Time Reporting Case.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

2020

Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

Privacy Preserving Collaborative Computing: Heterogeneous Privacy Guarantee and Efficient Incentive Mechanism.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Differentially Private Maximum Consensus: Design, Analysis and Impossibility Result.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2019

Differential Privacy-preserving Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Privacy Preserving Average Consensus with Different Privacy Guarantee.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Xin Wang

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