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, AnupA
• 金额: $ 1.64万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Postdoctoral Fellowships
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=764447
• 关键词: Developing; distributed; learning; algorithms; convolutional; Developing; distributed; learning; algorithms; convolutional

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