BR112023019791A2 - Método para aprendizado de máquina gerenciado em uma rede de comunicação, uma ou mais funções de rede de uma rede de comunicação, meio legível por computador não transitório, e, equipamento de usuário configurado para aprendizado de máquina gerenciado em uma rede de comunicação - Google Patents

Método para aprendizado de máquina gerenciado em uma rede de comunicação, uma ou mais funções de rede de uma rede de comunicação, meio legível por computador não transitório, e, equipamento de usuário configurado para aprendizado de máquina gerenciado em uma rede de comunicação

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Publication number
BR112023019791A2
BR112023019791A2 BR112023019791A BR112023019791A BR112023019791A2 BR 112023019791 A2 BR112023019791 A2 BR 112023019791A2 BR 112023019791 A BR112023019791 A BR 112023019791A BR 112023019791 A BR112023019791 A BR 112023019791A BR 112023019791 A2 BR112023019791 A2 BR 112023019791A2
Authority
BR
Brazil
Prior art keywords
communications network
machine learning
network
managed machine
ues
Prior art date
Application number
BR112023019791A
Other languages
English (en)
Inventor
Henrik Rydén
Michael Liljenstam
Viktor Berggren
Original Assignee
Ericsson Telefon Ab L M
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Ericsson Telefon Ab L M filed Critical Ericsson Telefon Ab L M
Publication of BR112023019791A2 publication Critical patent/BR112023019791A2/pt

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
    • G06F21/71—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information
    • G06F21/74—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information operating in dual or compartmented mode, i.e. at least one secure mode
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/04—Network management architectures or arrangements
    • H04L41/045—Network management architectures or arrangements comprising client-server management architectures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

as modalidades incluem métodos para aprendizado de máquina (ml) gerenciado em uma rede de comunicação, tal como por uma ou mais primeiras funções de rede (nfs) da rede de comunicação. tais métodos incluem determinar se o processamento de um modelo de ml na rede de comunicação deve ser distribuído para um ou mais equipamentos de usuário (ues) operando na rede de comunicação, com base nas características dos respectivos ues. tais métodos também incluem, com base na determinação de que o processamento do modelo de ml deve ser distribuído para o um ou mais ues, estabelecer ambientes de execução confiáveis (tees) nos respectivos ues e distribuir o modelo de ml para processamento nos respectivos tees. outras modalidades incluem métodos complementares para ues, bem como ues e nfs (ou redes de comunicação) configurados para realizar tais métodos.
BR112023019791A 2021-03-31 2022-01-26 Método para aprendizado de máquina gerenciado em uma rede de comunicação, uma ou mais funções de rede de uma rede de comunicação, meio legível por computador não transitório, e, equipamento de usuário configurado para aprendizado de máquina gerenciado em uma rede de comunicação BR112023019791A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US17/218,675 US11606416B2 (en) 2021-03-31 2021-03-31 Network controlled machine learning in user equipment
PCT/EP2022/051804 WO2022207152A1 (en) 2021-03-31 2022-01-26 Network controlled machine learning in user equipment

Publications (1)

Publication Number Publication Date
BR112023019791A2 true BR112023019791A2 (pt) 2023-11-07

Family

ID=80682712

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112023019791A BR112023019791A2 (pt) 2021-03-31 2022-01-26 Método para aprendizado de máquina gerenciado em uma rede de comunicação, uma ou mais funções de rede de uma rede de comunicação, meio legível por computador não transitório, e, equipamento de usuário configurado para aprendizado de máquina gerenciado em uma rede de comunicação

Country Status (4)

Country Link
US (1) US11606416B2 (pt)
EP (1) EP4315139A1 (pt)
BR (1) BR112023019791A2 (pt)
WO (1) WO2022207152A1 (pt)

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US11870813B2 (en) * 2021-04-30 2024-01-09 Docusign, Inc. Security operation selection using machine-learned model in document management system
US11818806B2 (en) * 2021-05-18 2023-11-14 Qualcomm Incorporated ML model training procedure
US20220405383A1 (en) * 2021-06-21 2022-12-22 EMC IP Holding Company LLC Training data protection in artificial intelligence model execution environment
CN113553191B (zh) * 2021-09-17 2022-01-04 深圳致星科技有限公司 用于联邦学习和隐私计算的异构处理系统
WO2024092812A1 (zh) * 2022-11-04 2024-05-10 北京小米移动软件有限公司 Ai或者ml模型监测方法、装置、通信设备及存储介质

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EP3433953B1 (en) 2016-03-21 2020-12-02 Telefonaktiebolaget LM Ericsson (PUBL) Target carrier radio predictions using source carrier measurements
US11556730B2 (en) * 2018-03-30 2023-01-17 Intel Corporation Methods and apparatus for distributed use of a machine learning model
US11423254B2 (en) 2019-03-28 2022-08-23 Intel Corporation Technologies for distributing iterative computations in heterogeneous computing environments
WO2020210362A1 (en) * 2019-04-08 2020-10-15 Ares Technologies, Inc. Systems, devices, and methods for machine learning using a distributed framework
CN112016666A (zh) 2019-05-31 2020-12-01 微软技术许可有限责任公司 深度学习模型的执行
US11159408B2 (en) 2019-06-25 2021-10-26 Intel Corporation Link performance prediction technologies
US11423332B2 (en) 2019-09-27 2022-08-23 Intel Corporation Distributed machine learning in an information centric network
US11540164B2 (en) * 2020-09-14 2022-12-27 T-Mobile Usa, Inc. Data packet prioritization for downlink transmission at sender level
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US20220114249A1 (en) * 2020-10-09 2022-04-14 Huawei Technologies Co., Ltd. Systems and methods for secure and fast machine learning inference in a trusted execution environment
US11553548B2 (en) * 2021-02-22 2023-01-10 Dish Wireless L.L.C. Intelligent cellular channel management

Also Published As

Publication number Publication date
US11606416B2 (en) 2023-03-14
EP4315139A1 (en) 2024-02-07
US20220321647A1 (en) 2022-10-06
WO2022207152A1 (en) 2022-10-06

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