REVIEW OF APPROACHES FOR REAL-TIME PERFORMANCE GUARANTEES IN EDGE MACHINE LEARNING SYSTEMS
This article presents a structured and comprehensive review of approaches aimed at ensuring real-time performance guarantees in edge machine learning systems and develops a multi-layered taxonomy that organizes existing techniques into four key domains: model-level optimization, system-level scheduling, runtime adaptat...