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Developing distributed learning algorithms for convolutional neural networks: a novel method for training deep learning models without sharing and collecting data

Developing distributed learning algorithms for convolutional neural networks: a novel method for training deep learning models without sharing and collecting data
开发卷积神经网络的分布式学习算法:一种无需共享和收集数据即可训练深度学习模型的新方法
批准号:
546140-2020
负责人:
Tuladhar, Anup
金额:
$3.28万
依托单位:
依托单位国家:
加拿大
项目类别:
Postdoctoral Fellowships
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
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英文摘要
machine learning, deep learning, convolutional neural networks, data privacy, distributed learning, image analysis, algorithms
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Developing distributed learning algorithms for convolutional neural networks: a novel method for training deep learning models without sharing and collecting data
  • 批准号:
    546140-2020
  • 项目类别:
    Postdoctoral Fellowships
  • 资助金额:
    $1.64万
  • 财政年份:
    2020
  • 负责人:
    Tuladhar, Anup
  • 依托单位:
Developing distributed learning algorithms for convolutional neural networks: a novel method for training deep learning models without sharing and collecting data
  • 批准号:
    546140-2020
  • 项目类别:
    Postdoctoral Fellowships
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Tuladhar, Anup
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 项目类别:
    面上项目
  • 资助金额:
    64.0万元
  • 批准年份:
    2016
  • 负责人:
    王骏
  • 依托单位: