《Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT》笔记 没饭了 想变得有趣的一个顶无趣的人23 人赞同了该文章 该篇论文于2020年6月发布在IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS(CCF-B),通信作者是挪威奥斯陆大学(University of Oslo)的Yan zhang(SeniorMember,IEEE)...
三. 一种基于区块链的联邦学习框架(Blockchained On-Device Federated Learning) 据调研,[1] 提出一种基于区块链的联邦学习通用框架(Blockchained On-Device Federated Learning, BlockFL),其具体步骤如下: 1.参数初始化:创建创世块,其包含随机初始化的全局参数等信息。 2.本地模型更新:每一个终端设备从新区块下...
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT,程序员大本营,技术文章内容聚合第一站。
For this reason, using blockchain as a trusted platform to run federated learning algorithms has gained traction lately and has become a significant research interest. This paper performs a literature survey on state-of-the-art blockchain-based federated learning systems and analyzes several ...
Privacy Data Management Mechanism Based on Blockchain and Federated Learning Due to the extensive use of various intelligent terminals and the popularity of network social tools, a large amount of data in the field of medical emerge... M Mo,S Ji,X Wang,... - 计算机,材料和连续体(英文) 被...
联邦学习论文阅读笔记11 FGFL: A blockchain-based fair incentive governor for Federated Learning 面对的问题:激励分配不均、攻击者欺骗 方法:提出FGFL模型。 1)设计了时间衰减SLM算法度量工作者声誉; 2)设计了基于梯度相似度的轻量级方法度量工作者贡献;...
“Blockchain” and “FL” are the top two keywords in terms of between centrality values in general for the past 4 years. Table 1 Statistical view of search-based finding report for blockchain and federated learning strategies Full size table 2.1 Blockchain-based federated learning techniques ...
联邦学习论文阅读:Federated meta-learning for recommendation 2018年fb的文章Federated meta-learning for recommendation的阅读笔记 想法 用元学习的方法解决少数据的问题,并用差分隐私保护用户的隐私性 这篇文章作者声称有两点创新,一是meta-learning在算法层面,二是用联邦学习保护用户隐私。但文章中的算法A与之前工作没...
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoTieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8843900 作者:Yunlong Lu Motivation: 1)构建一联邦学习模型,不分享本地数据; 2)提出了一种新的区块链授权协作架构,通过分布式多方共享数据,降低数据泄漏风险,数据所有...
Blockchain-based Federated Learning: A Comprehensive Survey 这篇21年的工作首创地对目前的BCFL (Blockchain-based Federated Learning)做了详细地调查,给上面两个问题提供了一些回答。 为什么要将区块链和联邦学习结合起来? Paper作者认为,传统的联邦学习框架在可靠性上有以下几个问题: ...