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Secure Parameter Identification of ARX Systems with CKKS Cryptosystem
Abstract This paper focuses on the cloud-based parameter identification problem of ARX systems while protecting the system input and output. To do so, a CKKS-cryptosystem-based parameter …
[2011.14645] Identification of Errors-in-Variables ARX Models Using ...
Nov 30, 2020 · Identification of autoregressive models with exogenous input (ARX) is a classical problem in system identification. This article considers the errors-in-variables (EIV) ARX model …
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On the Opportunities and Risks of Foundation Models
Aug 16, 2021 · AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Identification of Probability weighted ARX models with arbitrary domains
Sep 29, 2020 · Hybrid system identification is a key tool to achieve reliable models of Cyber-Physical Systems from data. PieceWise Affine models guarantees universal approximation, local linearity and …
arXiv.org e-Print archive
A study on foundation models, their opportunities, risks, and implications in AI's paradigm shift.
Secure parameter identification of ARX systems with CKKS cryptosystem
Nov 18, 2025 · This paper focuses on the cloud-based parameter identification problem of ARX systems while protecting the system input and output. To do so, a CKKS-cryptosystem-based parameter …
[2505.13384] An Empirical Bayes approach to ARX Estimation
May 19, 2025 · Empirical Bayes inference is based on estimation of the parameters of an a priori distribution from the observed data. The estimation technique of the parameters of the prior, called …
An aquifer thermal energy storage (ATES) can mitigate CO2 emissions of heating, ventilation, and air conditioning (HVAC) systems for buildings. In application, an ATES keeps large quantities of thermal …