JP2024531483A5 - - Google Patents

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Publication number
JP2024531483A5
JP2024531483A5 JP2024513092A JP2024513092A JP2024531483A5 JP 2024531483 A5 JP2024531483 A5 JP 2024531483A5 JP 2024513092 A JP2024513092 A JP 2024513092A JP 2024513092 A JP2024513092 A JP 2024513092A JP 2024531483 A5 JP2024531483 A5 JP 2024531483A5
Authority
JP
Japan
Prior art keywords
machine learning
learning model
configuration
parameters
neural network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2024513092A
Other languages
English (en)
Japanese (ja)
Other versions
JP2024531483A (ja
Filing date
Publication date
Priority claimed from US17/467,156 external-priority patent/US11916754B2/en
Application filed filed Critical
Publication of JP2024531483A publication Critical patent/JP2024531483A/ja
Publication of JP2024531483A5 publication Critical patent/JP2024531483A5/ja
Pending legal-status Critical Current

Links

JP2024513092A 2021-09-03 2022-09-01 機械学習のためのユーザ機器の構成 Pending JP2024531483A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/467,156 2021-09-03
US17/467,156 US11916754B2 (en) 2021-09-03 2021-09-03 Configuring a user equipment for machine learning
PCT/US2022/042314 WO2023034483A1 (en) 2021-09-03 2022-09-01 Configuring a user equipment for machine learning

Publications (2)

Publication Number Publication Date
JP2024531483A JP2024531483A (ja) 2024-08-29
JP2024531483A5 true JP2024531483A5 (enExample) 2025-08-13

Family

ID=83457226

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024513092A Pending JP2024531483A (ja) 2021-09-03 2022-09-01 機械学習のためのユーザ機器の構成

Country Status (7)

Country Link
US (2) US11916754B2 (enExample)
EP (1) EP4396742A1 (enExample)
JP (1) JP2024531483A (enExample)
KR (1) KR20240058841A (enExample)
CN (1) CN117882092A (enExample)
TW (1) TW202319969A (enExample)
WO (1) WO2023034483A1 (enExample)

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US12563374B2 (en) * 2021-12-07 2026-02-24 Amazon Technologies, Inc. Locality-based network slicing in radio-based networks
US12177683B2 (en) 2021-12-07 2024-12-24 Amazon Technologies, Inc. Provisioning radio-based networks with locality rules
US12556975B2 (en) * 2022-08-22 2026-02-17 Qualcomm Incorporated Machine learning component management
GB2627235A (en) * 2023-02-16 2024-08-21 Nokia Technologies Oy Method of data exchange for maintainace of artificial intelligence or machine learning models in wireless communication
WO2024201960A1 (ja) * 2023-03-30 2024-10-03 株式会社Nttドコモ 端末、無線通信方法及び基地局
WO2024250444A1 (en) * 2023-06-08 2024-12-12 Huawei Technologies Co., Ltd. Operations related to ai/ml model
CN119341923A (zh) * 2023-07-20 2025-01-21 华为技术有限公司 人工智能的管理方法与通信装置
GB202311263D0 (en) * 2023-07-21 2023-09-06 Nec Corp Communication system
US12224885B1 (en) * 2023-08-10 2025-02-11 Qualcomm Incorporated Machine learning based channel precoder selection for downlink
CN121773636A (zh) * 2023-08-17 2026-03-31 Oppo广东移动通信有限公司 信息指示方法、第一设备和第二设备
US20250126585A1 (en) * 2023-10-12 2025-04-17 Qualcomm Incorporated Cross-node machine learning operations in a radio access network
US20250212263A1 (en) * 2023-12-22 2025-06-26 Qualcomm Incorporated Techniques for non-transparent service establishment
WO2025211436A1 (ja) * 2024-04-04 2025-10-09 京セラ株式会社 通信制御方法及びネットワーク装置
WO2025211434A1 (ja) * 2024-04-04 2025-10-09 京セラ株式会社 通信制御方法
WO2025172980A1 (en) * 2024-04-04 2025-08-21 Lenovo (Singapore) Pte. Ltd. Obtaining parameters for a learning model
US12537749B2 (en) * 2024-04-09 2026-01-27 Verizon Patent And Licensing Inc. Learning-based network optimization service
WO2026074047A1 (en) 2024-10-02 2026-04-09 Aumovio Germany Gmbh Model parameter adjustment signaling in ran

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US11665576B2 (en) * 2018-08-10 2023-05-30 Verizon Patent And Licensing Inc. Systems and methods for wireless low latency traffic scheduler
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US11928587B2 (en) * 2019-08-14 2024-03-12 Google Llc Base station-user equipment messaging regarding deep neural networks
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