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May, 2023
使用密钥锁模块的联邦学习梯度泄漏防御
Gradient Leakage Defense with Key-Lock Module for Federated Learning
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Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma
TL;DR
本研究提供了关于梯度泄露问题的详细分析和新的防御技术,设计和训练了一个私有的键锁模块用于保护模型架构,确保梯度信息的安全性和模型性能均得到维护。
Abstract
federated learning
(FL) is a widely adopted
privacy-preserving
machine learning approach where private data remains local, enabling secure computations and the exchange of local model gradients between local clie
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