Zhusheng Wang

Orcid: 0000-0002-8086-6036

According to our database1, Zhusheng Wang authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Private Federated Submodel Learning via Private Set Union.
IEEE Trans. Inf. Theory, April, 2024

2023
Towards Secure Computation and Learning from Symmetric Private Information Retrieval.
PhD thesis, 2023

Fully Robust Federated Submodel Learning in a Distributed Storage System.
CoRR, 2023

Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions.
CoRR, 2023

Private Set Union Based Approach to Enable Private Federated Submodel Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Private Set Intersection: A Multi-Message Symmetric Private Information Retrieval Perspective.
IEEE Trans. Inf. Theory, 2022

Symmetric Private Information Retrieval at the Private Information Retrieval Rate.
IEEE J. Sel. Areas Inf. Theory, 2022

Digital Blind Box: Random Symmetric Private Information Retrieval.
Proceedings of the IEEE Information Theory Workshop, 2022

Communication Cost of Two-Database Symmetric Private Information Retrieval: A Conditional Disclosure of Multiple Secrets Perspective.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Multi-Party Private Set Intersection: An Information-Theoretic Approach.
IEEE J. Sel. Areas Inf. Theory, 2021

Symmetric Private Information Retrieval with User-Side Common Randomness.
Proceedings of the IEEE International Symposium on Information Theory, 2021

An Information-Theoretic Scheme for Multi-Party Private Set Intersection.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Private Set Intersection Using Multi-Message Symmetric Private Information Retrieval.
Proceedings of the IEEE International Symposium on Information Theory, 2020


  Loading...