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
基本信息
- 批准号:546140-2020
- 负责人:
- 金额:$ 1.64万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Postdoctoral Fellowships
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
machine learning, deep learning, convolutional neural networks, data privacy, distributed learning, image analysis, algorithms
机器学习,深度学习,卷积神经网络,数据隐私,分布式学习,图像分析,算法
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Tuladhar, Anup其他文献
Initial cell maturity changes following transplantation in a hyaluronan-based hydrogel and impacts therapeutic success in the stroke-injured rodent brain
- DOI:
10.1016/j.biomaterials.2018.11.020 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:14
- 作者:
Payne, Samantha L.;Tuladhar, Anup;Shoichet, Molly S. - 通讯作者:
Shoichet, Molly S.
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System
- DOI:
10.1007/s12021-022-09602-6 - 发表时间:
2022-09-09 - 期刊:
- 影响因子:3
- 作者:
Moore, Jasmine A.;Tuladhar, Anup;Forkert, Nils D. - 通讯作者:
Forkert, Nils D.
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks
- DOI:
10.1109/access.2020.2995632 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:3.9
- 作者:
Tuladhar, Anup;Schimert, Serena;Forkert, Nils D. - 通讯作者:
Forkert, Nils D.
Circumventing the blood-brain barrier: Local delivery of cyclosporin A stimulates stem cells in stroke-injured rat brain
- DOI:
10.1016/j.jconrel.2015.07.023 - 发表时间:
2015-10-10 - 期刊:
- 影响因子:10.8
- 作者:
Tuladhar, Anup;Morshead, Cindi M.;Shoichet, Molly S. - 通讯作者:
Shoichet, Molly S.
The use of acrylic yarn modified with amidoxime and carboxylate-containing polymer for lead removal from drinking water.
- DOI:
10.1039/d2ra04859k - 发表时间:
2022-09-22 - 期刊:
- 影响因子:3.9
- 作者:
Tuladhar, Anup;Pan, Horng-Bin;Popova, Inna - 通讯作者:
Popova, Inna
Tuladhar, Anup的其他文献
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{{ truncateString('Tuladhar, Anup', 18)}}的其他基金
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 - 财政年份:2021
- 资助金额:
$ 1.64万 - 项目类别:
Postdoctoral Fellowships
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 - 财政年份:2019
- 资助金额:
$ 1.64万 - 项目类别:
Postdoctoral Fellowships
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- 项目类别:面上项目
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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
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 - 财政年份:2022
- 资助金额:
$ 1.64万 - 项目类别:
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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
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
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546140-2020 - 财政年份:2021
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发展中社区的分布式合作学习分析
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$ 1.64万 - 项目类别:
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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
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
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- 资助金额:
$ 1.64万 - 项目类别:
Postdoctoral Fellowships
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