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arxiv_cs_lg · Jun 15, 2026 · paper

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Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning

arxiv.orgJun 15, 2026
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In brief

Streaming data systems increasingly underpin Machine Learning workflows that maintain large numbers of continuously updated aggregations. In production settings, each incoming event typically triggers read-modify-writ...

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Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning

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