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张涵 / 基于联邦学习的分心驾驶检测

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MIT

基于联邦学习的分心驾驶检测

介绍

使用VGG19、efficientnet和Resnet50分别对驾驶员状态数据集进行分类,并在近期的工作中加入了联邦学习的方法,将Shapley值和激励机制引入到联邦学习过程中。

MIT License Copyright (c) 2023 张涵 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

使用VGG19、efficientnet和Resnet50分别对驾驶员状态数据集进行分类,并在近期的工作中加入了联邦学习的方法,将Shapley值和激励机制引入到联邦学习过程中。 展开 收起
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基于联邦学习的分心驾驶检测
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