WO2023111658 - DISTRIBUTED MACHINE LEARNING
National phase entry:
Publication Number
WO/2023/111658
Publication Date
22.06.2023
International Application No.
PCT/IB2021/061946
International Filing Date
17.12.2021
Title **
[English]
DISTRIBUTED MACHINE LEARNING
[French]
APPRENTISSAGE MACHINE RÉPARTI
Applicants **
TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Inventors
DALAL, Hardik
FAPI, Emmanuel Thepie
ZHU, Zhongwen
LIANG, Ben
WANG, Jingrong
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 | * |
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| Number of Office Actions | * |
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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 | 2040 | |
| EPO | Filing, Examination, Granting | 9768 | |
| Japan | Filing, Examination, Granting | 2293 | |
| South Korea | Filing, Examination, Granting | 2092 | |
| USA | Filing, Examination, Granting | 5940 |
Total:
22,133
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
A method (700) for distributed machine learning, ML, using a set of N CDs. The method includes obtaining first topology information, wherein, for each CD included in the set of N CDs, the first topology information identifies other CDs included in the set of N CDs to which the CD is connected, thereby identifying a set of CD pairs. The method also includes obtaining first network state information, wherein, for each CD included in the set of N CDs, the first network state information comprises a network state vector for the CD, wherein the network state vector for the CD comprises, for each other CD to which the CD is indicated as being connected by the first topology information, a determined network state value. The method further includes determining a consensus weight matrix (W) using the obtained first network state information and the first topology information.[French]
Procédé (700) permettant l'apprentissage machine, ML, réparti à l'aide d'un ensemble de N CD. Le procédé consiste à obtenir de premières informations de topologie. Pour chaque CD compris dans l'ensemble de N CD, les premières informations de topologie Identifiant d'autres CD compris dans l'ensemble de N CD auquel le CD est connecté, ce qui permet d'identifier un ensemble de paires de CD. Le procédé consiste également à obtenir de premières informations d'état de réseau. Pour chaque CD compris dans l'ensemble de N CD, les premières informations d'état de réseau comprennent un vecteur d'état de réseau relatif au CD, le vecteur d'état de réseau relatif au CD comprenant, pour chaque autre CD auquel le CD est indiqué comme étant connecté par les premières informations de topologie, une valeur d'état de réseau déterminée. Le procédé consiste en outre à déterminer une matrice de pondération de consensus (W) à l'aide des premières informations d'état de réseau obtenues et des premières informations de topologie.