Kennedy Edemacu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Lecturer

University of Arkansas at Fayetteville

faculty

9 h-index 21 pubs 376 cited

Research Areas

Privacy Preserving Prompt Engineering Differential Privacy Techniques Mobile Crowdsensing Privacy Location-Based Service Privacy Multi-Party Computation Data Filtering Techniques Internet of Things Security

Links

ORCID Lab Website

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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-based techniques and their application to location-based services, as well as exploring privacy preservation in prompt engineering and in-context learning with differentially private tabular data. Another area of study involves multi-party privacy-preserving logistic regression for Internet of Things (IoT) contributors, with a focus on filtering poor quality data. Edemacu has collaborated with researchers Xintao Wu and Alycia N. Carey at the University of Arkansas at Fayetteville on multiple publications. With a total of 21 publications and 376 citations, Edemacu's work contributes to the understanding of data privacy in emerging technological fields.

Metrics

  • h-index: 9
  • Publications: 21
  • Citations: 376

Selected Publications

  • Privacy Preserving Prompt Engineering: A Survey (2025) DOI
  • DP-TabICL: In-Context Learning with Differentially Private Tabular Data (2024) DOI

Collaborators

Researchers in the database who share publications

Xintao Wu University of Arkansas at Fayetteville 3 shared publications Alycia N. Carey University of Arkansas at Fayetteville 2 shared publications Minh-Hao Van University of Arkansas at Fayetteville 1 shared publication