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EdgePace: Deadline- and Freshness-Aware LLM Scheduling on Unified-Memory Platforms
Large language models (LLMs) increasingly run on edge devices alongside tasks that continuously process sensor data. In many applications, these foreground tasks prepare observations as inputs to the LLM, whose outputs guide subsequent processing or actions. The observations must be processed by for
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