WO2025172980 - OBTAINING PARAMETERS FOR A LEARNING MODEL
National phase entry is expected:
Publication Number
WO/2025/172980
Publication Date
21.08.2025
International Application No.
PCT/IB2025/052958
International Filing Date
20.03.2025
Title **
[English]
OBTAINING PARAMETERS FOR A LEARNING MODEL
[French]
OBTENTION DE PARAMÈTRES POUR UN MODÈLE D'APPRENTISSAGE
Applicants **
LENOVO (SINGAPORE) PTE. LTD.
Inventors
KOTHAPALLI, Venkata Srinivas
Priority Data
63/574,830
04.04.2024
US
Application details
| Total Number of Claims/PCT | * |
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| Number of Multi-Dependent Claims | * |
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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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| * | |
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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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| Translation |
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* 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 | 2548 | |
| EPO | Filing, Examination, Granting | 12174 | |
| Japan | Filing, Examination, Granting | 2337 | |
| South Korea | Filing, Examination, Granting | 2350 | |
| USA | Filing, Examination, Granting | 5340 |
Total:
24,749
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Abstract[English]
Various aspects of the present disclosure relate to obtaining parameters for a learning model. A device obtains a set of learning models. In some examples, each learning model of the set of learning models is associated with a first set of one or more parameters, each learning model of the set of learning models includes a respective set of layers, and a subset of layers of the respective set of layers is associated with a second set of one or more parameters. In some examples, the device selects at least one learning model for executing at the device. In some other examples, the device transmits a message that includes the first set of parameters and at least one second set of parameters to another device. The other device can transmit a message that requests at least one of the first set of parameters or the second set of parameters.[French]
Divers aspects de la présente divulgation concernent l'obtention de paramètres pour un modèle d'apprentissage. Un dispositif obtient un ensemble de modèles d'apprentissage. Dans certains exemples, chaque modèle d'apprentissage de l'ensemble de modèles d'apprentissage est associé à un premier ensemble d'un ou de plusieurs paramètres, chaque modèle d'apprentissage de l'ensemble de modèles d'apprentissage comprend un ensemble respectif de couches, et un sous-ensemble de couches de l'ensemble respectif de couches est associé à un second ensemble d'un ou de plusieurs paramètres. Dans certains exemples, le dispositif sélectionne au moins un modèle d'apprentissage à exécuter au niveau du dispositif. Dans certains autres exemples, le dispositif transmet un message qui comprend le premier ensemble de paramètres et au moins un second ensemble de paramètres à un autre dispositif. L'autre dispositif peut transmettre un message qui demande au moins l'un du premier ensemble de paramètres ou du second ensemble de paramètres.