WO2025146621 - MACHINE LEARNING MODEL FINGERPRINTING BASED VALIDATION AND PERFORMANCE MONITORING
National phase entry is expected:
Publication Number
WO/2025/146621
Publication Date
10.07.2025
International Application No.
PCT/IB2024/063346
International Filing Date
31.12.2024
Title **
[English]
MACHINE LEARNING MODEL FINGERPRINTING BASED VALIDATION AND PERFORMANCE MONITORING
[French]
VALIDATION ET SURVEILLANCE DES PERFORMANCES BASÉES SUR UNE EMPREINTE DE MODÈLE D'APPRENTISSAGE AUTOMATIQUE
Applicants **
NOKIA TECHNOLOGIES OY
Inventors
FEKI, Afef
MASRI, Ahmad
ALI, Amaanat
HASSAN, Sakira
SONG, Jian
Priority Data
24150467.9
05.01.2024
EP
Application details
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| 译文 |
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2703 | |
| EPO | Filing, Examination, Granting | 18374 | |
| Japan | Filing, Examination, Granting | 2742 | |
| South Korea | Filing, Examination, Granting | 3266 | |
| USA | Filing, Examination, Granting | 9940 |
Total:
37,025
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Abstract[English]
Machine learning model fingerprinting based validation and performance monitoring is provided. A method for machine learning model fingerprinting based validation and performance monitoring may include receiving labelled data for a machine learning model from at least one network device and evaluating a performance of the machine learning model based on the labelled data. The method may also include determining, based on the evaluated performance of the machine learning model, validity of the machine learning model for the at least one network device, and transmitting, to a user device, information on the validity of the machine learning model.[French]
L'invention concerne une validation et une surveillance des performances basées sur une empreinte de modèle d'apprentissage automatique. Un procédé de validation et de surveillance des performances basées sur une empreinte de modèle d'apprentissage automatique peut consister à recevoir des données étiquetées pour un modèle d'apprentissage automatique de la part d'au moins un dispositif de réseau et à évaluer les performances du modèle d'apprentissage automatique sur la base des données étiquetées. Le procédé peut également consister à déterminer, sur la base des performances évaluées du modèle d'apprentissage automatique, la validité du modèle d'apprentissage automatique pour ledit au moins un dispositif de réseau, et à transmettre, à un dispositif utilisateur, des informations sur la validité du modèle d'apprentissage automatique.