cs.DB · 2026-06-16 · No. 25
Databases, 2026-06-16.
1 new papers in cs.DB. Titles, authors,
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01 — The papers
1 entries-
01
Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning
Augusto Peres, Iker Perez, Pedro Valdeira, Guilherme Jardim, Ana Sofia Gomes, Hugo Ferreira, Pedro Bizarro
cs.DB · cs.LG
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-write operations to persistent storage, making high-frequency state updates a dominant source of latency, contention, and operational cost. In this work, we decouple inference from state persistence in streaming Machine Learning...
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