Shuai Wang

Orcid: 0000-0001-6457-9478

Affiliations:
  • 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 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee.
IEEE Trans. Wirel. Commun., February, 2024

Differentially Private Federated Clustering Over Non-IID Data.
IEEE Internet Things J., February, 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

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering.
IEEE Trans. Signal Process., 2022

Federated Stochastic Primal-dual Learning with Differential Privacy.
CoRR, 2022

Energy-Efficient Multi-cell NOMA Design via Coalition Formation Game.
Proceedings of the Game Theory for Networks, 2022

2021
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization.
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


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