Decentralized Federated Learning Preserves Model and Data Privacy

机译：分散的联合学习保留模型和数据隐私

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Thorsten Wittkopp; Alexander Acker;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Federated Learning and Privacy:Building privacy-preserving systems for machine learning and data science on decentralized data [J] . allista Bonawitz, Peter Kairouz, Brendan McMahan, ACM Queue: Architecting Tomorrow s Computing . 2021,第5期

机译：联邦学习和隐私：在分散数据上构建机器学习和数据科学的隐私保存系统
2. Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy [J] . Rodriguez-Barroso Nuria, Stipcich Goran, Jimenez-Lopez Daniel, Information Fusion . 2020,第1期

机译：联邦学习和差异隐私：软件工具分析，Sherpa.ai FL框架和用于保护数据隐私的方法论指南
3. A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems [J] . Zhou Pan, Wang Kehao, Guo Linke, IEEE Transactions on Knowledge and Data Engineering . 2021,第3期

机译：一个隐私保留的分布式上下文联合联盟在线学习框架，具有在社交推荐系统中的大数据支持
4. Decentralized Federated Learning Preserves Model and Data Privacy [C] . Thorsten Wittkopp, Alexander Acker International Conference on Service-Oriented Computing;International Workshop on Artificial Intelligence for IT Operations;International Workshop on Cyber Forensics and Threat Investigations Challenges in Emerging Infrastructures;Workshop on Smart Data Integration and Processing;International Workshop on AI-enabled Process Automation;International Workshop on Artificial Intelligence in the IoT Security Services . 2020

机译：分散的联合学习保留模型和数据隐私
5. Preserving Data and Model Privacy in Distributed System for Machine Learning Based Classifications [D] . Jia, Qi. 2019

机译：基于机器学习分类的分布式系统中保留数据和模型隐私
6. Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care [O] . Fadila Zerka, Samir Barakat, Sean Walsh, -1

机译：从联邦医疗保健数据库中保护隐私的分布式机器学习的系统综述
7. Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy [O] . Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, 2020

机译：联邦学习和差异隐私：软件工具分析，Sherpa.ai FL框架和保留数据隐私的方法论指南

Decentralized Federated Learning Preserves Model and Data Privacy

著录项

引文网络

相似文献

相关主题

期刊订阅