CN114981795A - 资源调度方法、装置及可读存储介质 - Google Patents

资源调度方法、装置及可读存储介质 Download PDF

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Publication number
CN114981795A
CN114981795A CN202080093014.6A CN202080093014A CN114981795A CN 114981795 A CN114981795 A CN 114981795A CN 202080093014 A CN202080093014 A CN 202080093014A CN 114981795 A CN114981795 A CN 114981795A
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China
Prior art keywords
terminal device
information
model
sample data
trained
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Pending
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CN202080093014.6A
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English (en)
Inventor
沈嘉
田文强
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Publication of CN114981795A publication Critical patent/CN114981795A/zh
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/23—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal
    • 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
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling
    • H04W72/121—Wireless traffic scheduling for groups of terminals or users
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/50—Indexing scheme relating to G06F9/50
    • G06F2209/501—Performance criteria
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/50—Indexing scheme relating to G06F9/50
    • G06F2209/508—Monitor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality

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

Abstract

一种资源调度方法、装置及可读存储介质，终端设备在参与联邦学习的过程中，网络设备首先生成第一信息，该第一信息中包括配置信息，具体地，该配置信息用于指示终端设备进行模型训练的样本数据的特性和/或待训练模型的特性；接着，网络设备将该第一信息发送至终端设备，终端设备获取第一信息中的配置信息。网络设备通过根据终端设备自身的数据处理能力和/或数据传输能力确定该终端设备参与本轮的联邦学习，并生成并发送与该终端设备相匹配的训练参数的配置信息，从而实现了在无线网络中训练参数的调度。

Description

PCT国内申请，说明书已公开。

Claims (62)

  1. PCT国内申请，权利要求书已公开。
CN202080093014.6A 2020-01-14 2020-01-14 资源调度方法、装置及可读存储介质 Pending CN114981795A (zh)

Applications Claiming Priority (1)

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PCT/CN2020/072053 WO2021142627A1 (zh) 2020-01-14 2020-01-14 资源调度方法、装置及可读存储介质

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CN114981795A true CN114981795A (zh) 2022-08-30

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US (1) US20220346132A1 (zh)
EP (1) EP4089549A4 (zh)
CN (1) CN114981795A (zh)
WO (1) WO2021142627A1 (zh)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12003404B2 (en) * 2020-12-23 2024-06-04 Intel Corporation Information centric network protocol for federated learning
CN115802370A (zh) * 2021-09-10 2023-03-14 华为技术有限公司 一种通信方法及装置
CA3186006A1 (en) * 2021-12-31 2023-06-30 Comcast Cable Communications, Llc Quality management for wireless devices
WO2024040577A1 (en) * 2022-08-26 2024-02-29 Apple Inc. Technologies for user equipment-trained artificial intelligence models
CN117714309A (zh) * 2022-09-13 2024-03-15 华为技术有限公司 数据的传输方法、装置、设备以及存储介质
WO2024138653A1 (zh) * 2022-12-30 2024-07-04 Oppo广东移动通信有限公司 用于通信的方法、终端设备以及网络设备
CN116050540B (zh) * 2023-02-01 2023-09-22 北京信息科技大学 一种基于联合双维度用户调度的自适应联邦边缘学习方法
CN116796860B (zh) * 2023-08-24 2023-12-12 腾讯科技（深圳）有限公司 联邦学习方法、装置、电子设备及存储介质

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CN107688493B (zh) * 2016-08-05 2021-06-18 阿里巴巴集团控股有限公司 训练深度神经网络的方法、装置及系统
CN109189825B (zh) * 2018-08-10 2022-03-15 深圳前海微众银行股份有限公司 横向数据切分联邦学习建模方法、服务器及介质
CN109902820B (zh) * 2019-02-20 2023-04-07 腾讯科技（深圳）有限公司 Ai模型训练方法、装置、存储介质及设备
CN110008696A (zh) * 2019-03-29 2019-07-12 武汉大学 一种面向深度联邦学习的用户数据重建攻击方法
CN110263921B (zh) * 2019-06-28 2021-06-04 深圳前海微众银行股份有限公司 一种联邦学习模型的训练方法及装置
CN110378487B (zh) * 2019-07-18 2021-02-26 深圳前海微众银行股份有限公司 横向联邦学习中模型参数验证方法、装置、设备及介质
CN110610242B (zh) * 2019-09-02 2023-11-14 深圳前海微众银行股份有限公司 一种联邦学习中参与者权重的设置方法及装置

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US20220346132A1 (en) 2022-10-27
EP4089549A1 (en) 2022-11-16
WO2021142627A1 (zh) 2021-07-22
EP4089549A4 (en) 2023-01-25

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