Internship: Privacy-Enhancing Machine Learning
3 Months ago • All levels
Research Development
Job Description
This internship focuses on research for privacy-enhancing methods like Fully Homomorphic Encryption and Secure Multi-Party Computation, specifically for resource-constrained devices at the edge. The role involves exploring and implementing these technologies to enhance data privacy in edge computing environments. The intern will be expected to contribute to the research efforts and gain hands-on experience in this emerging field of privacy-preserving machine learning, contributing to cutting-edge advancements in data security and privacy.
This internship looks into research for privacy-enhancing methods such as Fully Homomorphic Encryption and Secure Multi-Party Computation for resource constrained devices on the edge.
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