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Dec, 2020
基于贝叶斯的无线网络联邦学习
Bayesian Federated Learning over Wireless Networks
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Seunghoon Lee, Chanho Park, Song-Nam Hong, Yonina C. Eldar, Namyoon Lee
TL;DR
本文提出了一种基于贝叶斯的联合学习算法(BFL)和一种高效的改进算法(Scalable-BFL),通过优化均方误差,聚合异构的离散梯度信息,在MNIST数据集上的模拟实验中,这两种算法在异构网络上训练和测试神经网络时都比传统的随机梯度下降算法表现得更好。
Abstract
federated learning
is a privacy-preserving and distributed training method using heterogeneous data sets stored at local devices.
federated learning
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