Shuai Wang
Orcid: 0000-0001-6457-9478Affiliations:
- Singapore University of Technology and Design, Information Systems Technology and Design Pillar, Tampines, Singapore
- Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China (PhD 2021)
- Hong Kong University of Science and Technology, Hong Kong (2014-2016)
According to our database1,
Shuai Wang authored at least 26 papers
between 2018 and 2026.
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Bibliography
2026
Federated Learning With Enhanced Privacy via Model Splitting and Random Client Participation.
IEEE Trans. Cogn. Commun. Netw., 2026
2025
Efficient Federated Learning Algorithm Design for Distributed Channel Estimation in Cell-Free Massive MIMO Systems.
IEEE Trans. Commun., September, 2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks.
IEEE Trans. Mob. Comput., August, 2025
Differentially Private Federated Stochastic Primal-Dual Learning for Internet of Vehicles.
IEEE Internet Things J., June, 2025
IEEE Trans. Dependable Secur. Comput., 2025
Improving Byzantine-Resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction.
Proceedings of the Information and Communications Security - 27th International Conference, 2025
2024
Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee.
IEEE Trans. Artif. Intell., December, 2024
IEEE Trans. Veh. Technol., October, 2024
Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee.
IEEE Trans. Wirel. Commun., February, 2024
IEEE Internet Things J., February, 2024
Privacy-Preserving Federated Primal - Dual Learning for Nonconvex and Nonsmooth Problems With Model Sparsification.
IEEE Internet Things J., 2024
Distributed Spatially Non-Stationary Channel Estimation for Extremely-Large Antenna Systems.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification.
CoRR, 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee.
CoRR, 2023
Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Signal Process., 2022
Proceedings of the Game Theory for Networks, 2022
2021
IEEE Trans. Signal Process., 2021
Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing.
CoRR, 2020
2019
Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Cell Subclass Identification in Single-Cell RNA-Sequencing Data Using Orthogonal Nonnegative Matrix Factorization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018