In-Mig: Geographically Dispersed Agentic LLMs for Privacy-Preserving Artificial Intelligence

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Authors: Mohammad Nauman
Cited by: 0

Abstract

Large Language Models (LLMs) are increasingly utilized for semantic understanding and reasoning, yet their use in sensitive settings is limited by privacy concerns. This paper presents In-Mig, a mobile-agent architecture that... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Mobile Agent-Based Network Management Cryptography and Data Security

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN