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Updated: May 17, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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联合机器学习使水质的风险管理和隐私保护成为可能

Yu-Qi Wang1, Hong-Cheng Wang1, Wen-Zhe Wang1

  • 1State Key Laboratory of Urban Water Resource and Environment, School of Eco-Environment, Harbin Institute of Technology, Shenzhen 518055, China.

Environmental science & technology
|May 16, 2025
PubMed
概括

本研究介绍了废水处理厂适应性水系统联合平均化 (AWSFA) 框架. 在不影响隐私的情况下,AWSFA可实现安全的数据共享,以改善实时水质风险管理.

关键词:
联合学习的联合学习机器学习是机器学习.在平行培训的同时,还有一些平行培训.隐私保护 隐私保护 隐私保护废水处理厂的废水处理厂.管理水质风险的管理.

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