Project/Area Number |
23K24829
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 60060:Information network-related
|
Research Institution | The University of Tokyo |
Principal Investigator |
FAN ZIPEI 東京大学, 空間情報科学研究センター, 客員研究員 (70835397)
|
Project Period (FY) |
2024-04-01 – 2025-03-31
|
Project Status |
Granted (Fiscal Year 2024)
|
Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2024: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
|
Keywords | Crowdsensing / Privacy preserving / Trustworthy AI |
Outline of Research at the Start |
This research aims at studying the privacy-preserving crowdsensing method in the mobile computing scenarios and the fairness-aware data valuation problem that helps design a better incentive strategy for encouraging the participation of the users.
|