arXiv Machine Learning October 16, 2026 By Keyuan Zhang, Yin Sun, Bo Ji

Multimodal Remote Inference

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The paper studies a remote inference system that uses multimodal machine learning models to perform real‑time inference from features collected by remote sensors. It formulates a scheduling problem to minimize inference error, modeling error as a function of the Age of Information (AoI) vector, and solves it via a semi‑Markov decision process. The authors derive optimal policies for two‑modality and general multi‑modality cases, and propose low‑complexity alternatives that trade off speed and error.

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