WO2025060349 - METHODS, DEVICES, AND COMPUTER READABLE MEDIUM FOR ARTIFICIAL INTELLIGENCE (AI) SERVICE

National phase entry is expected:
Publication Number WO/2025/060349
Publication Date 27.03.2025
International Application No. PCT/CN2024/079000
International Filing Date 28.02.2024
Title **
[English] METHODS, DEVICES, AND COMPUTER READABLE MEDIUM FOR ARTIFICIAL INTELLIGENCE (AI) SERVICE
[French] PROCÉDÉS, DISPOSITIFS ET SUPPORT LISIBLE PAR ORDINATEUR POUR SERVICE D'INTELLIGENCE ARTIFICIELLE (IA)
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
MA, Jianglei Suite 400, 303 Terry Fox Drive, Kanata Ontario 231, CA
ZHU, Peiying Suite 400, 303 Terry Fox Drive, Kanata Ontario 231, CA
TONG, Wen Suite 400, 303 Terry Fox Drive, Kanata Ontario 231, CA
Priority Data
63/584,067   20.09.2023   US
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Quotation for National Phase entry

Country StagesTotal
China Filing2355
EPO Filing, Examination20480
Japan Filing529
South Korea Filing575
USA Filing, Examination11435
MasterCard Visa

Total: 35374

Abstract[English] A method relates to artificial intelligence (AI) service. In the method, a first device receives indication information on monitoring or updating of one or more sub-models of an artificial intelligence/machine learning (AI/ML) model. Based on the indication information, the first device performs the monitoring or the updating of the one or more sub-models. In this way, distributed monitor and update by multiple devices are enabled, and each device may monitor or update partial of the AI model, to improve monitor or update efficiency.[French] Un procédé concerne un service d'intelligence artificielle (IA). Dans le procédé, un premier dispositif reçoit des informations d'indication sur la surveillance ou la mise à jour d'un ou de plusieurs sous-modèles d'un modèle d'intelligence artificielle/apprentissage automatique (IA/ML). Sur la base des informations d'indication, le premier dispositif effectue la surveillance ou la mise à jour du ou des sous-modèles. De cette manière, un moniteur distribué et une mise à jour par de multiples dispositifs sont activés, et chaque dispositif peut surveiller ou mettre à jour une partie du modèle d'IA, pour améliorer l'efficacité de surveillance ou de mise à jour.
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