DistCA addresses a fundamental limitation in long-context LLM training: severe workload imbalance caused by the uneven quadratic cost of core attention across micro-batches. Existing systems and ...
Abstract: This paper investigates the self-triggered model predictive control for networked linear systems. The self-triggered mechanism is designed based on switched cost functions, which can be used ...
Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.
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