cs.DB · 2026-06-16 · No. 25

Databases, 2026-06-16.

1 new papers in cs.DB. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 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...

    arxiv.org/abs/2606.16981 · PDF

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