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A novel metric reveals that existing methods for measuring privacy leakage in multidimensional data are fundamentally limited, while the Dependency Triad offers a scalable solution that maintains accuracy even in high-cardinality scenarios.
RAG-HAR+ achieves competitive HAR performance while slashing LLM usage and inference time, paving the way for efficient edge deployment.
