last modified：2026/09/15
Assistant Professor ONO, Hajime
Faculty, Affiliation
Faculty of Economics and Management,Institute of Human and Social Sciences
College and School Educational Field
Laboratory
Academic Background
【Academic background(Doctoral/Master's Degree)】
The Graduate University for Advanced Studies Doctor 202303 Completed
【Academic background(Bachelor's Degree)】
University of Tsukuba College of Information Science 201803
Career
Year & Month of Birth
Academic Society
Award
Specialities
Statistical science
Speciality Keywords
Research Themes
Books
Papers
- DP-FedELM: Differentially Private Federated Extreme Learning Machine Hajime Ono, Tran Thi Phuong, Le Trieu Phong Lecture Notes on Data Engineering and Communications Technologies 247 2025/04
- Theoretical lower bounds for one-dimensional locally private estimations with missing data Hajime Ono International Journal of Information Security 24 2025/01/07
- When should we use top coding in locally private estimation? Hajime Ono, Kazuhiro Minami, Hideitsu Hino International Journal of Information Security 24 2024/11/25
- Differentially Private Extreme Learning Machine Hajime Ono, Tran Thi Phuong, Le Trieu Phong Modeling Decisions for Artificial Intelligence. MDAI 2024. Lecture Notes in Computer Science 2024/08/15
- One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation Hajime Ono, Kazuhiro Minami, Hideitsu Hino Proceedings of The 25th International Conference on Artificial Intelligence and Statistics 2022/03/28
Conference Presentations
- Patterns Without Source: A Meta-Analysis of PWS Cup 2025(conference：PRIVACY IN STATISTICAL DATABASES)(2026/09/30)
- Hidden Power of Quasi-multinomial Sampling: Utility Analysis and Bias Correction(conference：Privacy in Statistical Databases 2024)(2024/09/26)
Others
Arts and Fieldwork
Patent
Theme to the desired joint research
Grant-in-Aid for Scientific Research
○「Creating a Broadly Accessible Framework for Official Statistical Microdata Using Trustworthy Synthetic Data」(2026-2028)
○「欠測値補完とプライバシー保護を統計の信頼度を維持しながら実施できるか？」(2025-2029)