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Details

Veröffentlichungs-Nr.

EP4730181

Anmeldetag

10. Oktober 2025

Veröffentlichung

22. April 2026

Rechtsraum

EP

Abstract

Method comprisingdetermining, in a trusted execution environment, values of hyperparameters of a machine learning model based on private data stored in the trusted execution environment, wherein the hyperparameters include system-specific hyperparameters and model-specific hyperparameters;training, in the trusted execution environment, the machine learning model to which the determined values of the system-specific and model-specific hyperparameters are applied to obtain, after one or more epochs of training, a sufficiently trained machine learning model;outputting the sufficiently trained machine learning model from the trusted execution environment; and,inhibiting output of the determined values of the system-specific hyperparameters from the trusted execution environment, whereinthe system-specific hyperparameters are not accessible in the outputted sufficiently trained machine learning model.

Anmelder

Firma

Nokia Solutions and Networks Oy

Land

🇫🇮 Finnland