Kennedy Edemacu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Lecturer
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Kennedy Edemacu's research focuses on privacy-preserving mechanisms, particularly in the context of mobile crowdsensing and location-based services. Edemacu has investigated differential privacy techniques and their application to location data, aiming to enhance user privacy. Further work includes the development of secure data sharing methods for collaborative e-health systems, incorporating features like revocation and efficient attribute handling. Edemacu has also explored privacy-preserving prompt engineering and in-context learning with differentially private tabular data. Collaborations include work with Xintao Wu, Karuna Bhaila, Alycia N. Carey, and Minh-Hao Van at the University of Arkansas at Fayetteville.
Metrics
- h-index: 9
- Publications: 21
- Citations: 379
Selected Publications
-
Fair In-Context Learning via Latent Concept Variables (2025)
-
Privacy Preserving Prompt Engineering: A Survey (2025)
-
DP-TabICL: In-Context Learning with Differentially Private Tabular Data (2024)
Collaboration Network
Top Collaborators
- Privacy Preserving Prompt Engineering: A Survey
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- Fair In-Context Learning via Latent Concept Variables
- Fair In-Context Learning via Latent Concept Variables
- Fair In-Context Learning via Latent Concept Variables
- Fair In-Context Learning via Latent Concept Variables
- Fair In-Context Learning via Latent Concept Variables