Work

Advances and Challenges in Privacy-Preserving Machine Learning

Year: 2024

Type: conference-paper

Study design: Systematic Review

DOI: 10.1109/smartblock4africa61928.2024.10779547

Authors: Samuel Acheme, Glory Nosawaru Edegbe, Ijegwa David Acheme

Institution: Edo State University Uzairue

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4405305174

FWCI: 0.294

Cites: 67

Cited by: 1

Related to: 10