WO2026022608 - ENSURE CONSISTENCY FOR MACHINE LEARNING PROCEDURE
National phase entry is expected:
Publication Number
WO/2026/022608
Publication Date
29.01.2026
International Application No.
PCT/IB2025/057113
International Filing Date
14.07.2025
Title **
[English]
ENSURE CONSISTENCY FOR MACHINE LEARNING PROCEDURE
[French]
GARANTIE DE COHÉRENCE POUR UNE PROCÉDURE D'APPRENTISSAGE AUTOMATIQUE
Applicants **
NOKIA TECHNOLOGIES OY
Inventors
CARRILLO MELGAREJO, Dick
Priority Data
2410876.3
25.07.2024
GB
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
| * | |
| Number of Office Actions | * |
| * | |
International Searching Authority |
EPO
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
|
* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2297 | |
| EPO | Filing, Examination, Granting | 11551 | |
| Japan | Filing, Examination, Granting | 2360 | |
| South Korea | Filing, Examination, Granting | 2421 | |
| USA | Filing, Examination, Granting | 7340 |
Total:
25,969
Contact Us
Abstract[English]
Example embodiments of the present disclosure are directed to a solution for ensuring consistency for artificial intelligence (AI)/machine learning (ML) procedure A method comprises transmitting, to a second apparatus, a first message indicating at least one associated identity used by the first apparatus during a first machine learning (ML) phase, each associated identity corresponding to an additional condition of network; and receiving, from the second apparatus, a second message indicating an association indicator; and associating the association indicator with a first configuration at least comprising information about the at least one associated identity.[French]
Des modes de réalisation donnés à titre d'exemple de la présente divulgation concernent une solution permettant de garantir la cohérence d'une procédure d'intelligence artificielle (IA)/d'apprentissage automatique (ML). Un procédé consiste à transmettre à un second appareil un premier message indiquant au moins une identité associée utilisée par le premier appareil pendant une première phase d'apprentissage automatique (ML), chaque identité associée correspondant à une condition supplémentaire de réseau ; et recevoir depuis le second appareil un second message indiquant un indicateur d'association ; et associer l'indicateur d'association à une première configuration comprenant au moins des informations sur ladite identité associée.