2.2 区块链简介 下文对区块链进行非常粗浅的介绍,方便后续理解 Blockchained On-Device Federated Learning。 简单来说,区块链可以理解成是一个去中心化、公开透明、不可篡改、全程留痕、可以追溯、集体维护的共享账本和数据库,其不由中央机构或个人控制,而是由许多参与方共同维护和验证。下面举个例子帮助大家理解区块...
链接:IEEE Xplore Full-Text PDF:作者:Hyesung Kim (延世大学团队) 一点感悟:区块链和联邦学习这块儿韩国大学这边起步很早,很经典的文章都能看到他们的身影。Motivation:随着联邦学习的流行,谷歌团队也提…
By leveraging blockchain, this letter proposes a blockchained federated learning (BlockFL) architecture where local learning model updates are exchanged and verified. This enables on-device machine learning without any centralized training data or coordination by utilizing a consensus mechanism in blockcha...
Blockchained On-Device Federated Learningdoi:10.1109/LCOMM.2019.2921755Hyesung KimJihong ParkMehdi BennisSeong-Lyun KimIEEE
Blockchained-Service-Provisioning-and-Malicious-Node-Detection-via-Federated-Learning-in-Scalable-In (0)踩踩(0) 所需:1积分 PMSystem 2025-01-03 00:00:52 积分:1 公司会议室提前预订小程序 2025-01-03 00:00:13 积分:1 easycode模板,包含前端代码生成 ...
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the moder... Y Jiang,B Ma,X Wang,... 被引量: 0发表: 2023年 Incentive...
This paper in-troduces an innovative holistic Blockchained Adaptive Federated Auto Meta Learning Big Data and DevOps Cyber Security Architecture in Indus-try 4.0. The aim is to fill the gap found in the ways of handling and securing in-dustrial data. This architecture, combines the most ...
The proposed B5G enabled malicious node detection model uses federated learning for the detection of malicious nodes. The federated learning uses Support Vector Machine (SVM) and Random Forest (RF) classifiers to detect the malicious nodes. The malicious nodes are classified on the bases of their ...