WO2023141847 - APPARATUS AND METHODS FOR RELIABILITY ADAPTATION FOR ARTIFICIAL INTELLIGENCE TRAINING
National phase entry:
Publication Number
WO/2023/141847
Publication Date
03.08.2023
International Application No.
PCT/CN2022/074159
International Filing Date
27.01.2022
Title **
[English]
APPARATUS AND METHODS FOR RELIABILITY ADAPTATION FOR ARTIFICIAL INTELLIGENCE TRAINING
[French]
APPAREIL ET PROCÉDÉS D'ADAPTATION DE FIABILITÉ POUR ENTRAÎNEMENT D'INTELLIGENCE ARTIFICIELLE
Applicants **
HUAWEI TECHNOLOGIES CO., LTD.
Huawei Administration Building, Bantian, Longgang District
Shenzhen, Guangdong 518129, CN
Inventors
TANG, Hao
Huawei Administration Building, Bantian, Longgang District
Shenzhen, Guangdong 518129, CN
ZHANG, Liqing
Suite 400, 303 Terry Fox Drive, Kanata
Ottawa, Ontario 231, CA
MA, Jianglei
Suite 400, 303 Terry Fox Drive, Kanata
Ottawa, Ontario 231, CA
GE, Yiqun
Huawei Administration Building, Bantian, Longgang District
Shenzhen, Guangdong 518129, CN
ZHU, Peiying
Suite 400, 303 Terry Fox Drive, Kanata
Ottawa, Ontario 231, CA
TONG, Wen
Suite 400, 303 Terry Fox Drive, Kanata
Ottawa, Ontario 231, CA
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 | * |
| * | |
| * | |
International Searching Authority |
CNIPA
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
* 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 | 2027 | |
| EPO | Filing, Examination | 14912 | |
| Japan | Filing | 588 | |
| South Korea | Filing | 482 | |
| USA | Filing, Examination | 6510 |
Total: 24519 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
Current online training procedures for artificial intelligence/machine learning (AI/ML) models for wireless communication generally suffer from high communication overhead and/or significant delays in training, particularly when training data is exchanged over an unreliable/hostile communication channel. In some embodiments, different reliability modes are used to provide different levels of reliability to provide a tradeoff between overhead reductions and training performance.[French]
Les procédures d'apprentissage en ligne actuelles pour des modèles d'intelligence artificielle/d'apprentissage machine (IA/ML) pour une communication sans fil souffrent généralement d'une surcharge de communication élevée et/ou de retards significatifs de l'entraînement, en particulier lorsque des données d'entraînement sont échangées sur un canal de communication non fiable/hostile. Dans certains modes de réalisation de l'invention, différents modes de fiabilité sont utilisés pour fournir différents niveaux de fiabilité pour fournir un compromis entre les réductions de surcharge et la performance d'entraînement.