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Jul, 2023
基于区块链的优化客户选择和隐私保护联邦学习框架
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning
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Attia Qammar, Abdenacer Naouri, Jianguo Ding, Huansheng Ning
TL;DR
基于区块链、智能合约和同态加密技术,设计了一种保护数据隐私的联邦学习框架,实现了分散化的训练过程,并取得了较高的准确率。
Abstract
federated learning
is a distributed mechanism that trained large-scale neural network models with the participation of multiple clients and data remains on their devices, only sharing the local model updates. With this feature,
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