Brief Announcement: Byzantine-Tolerant Machine Learning

被引:2
|
作者
Blanchard, Peva [1 ]
El Mhamdi, El Mahdi [1 ]
Guerraoui, Rachid [1 ]
Stainer, Julien [1 ]
机构
[1] Swiss Fed Inst Technol, Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
Distributed Stochastic Gradient Descent; Adversarial Machine Learning;
D O I
10.1145/3087801.3087861
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We report on Krum, the first provably Byzantine-tolerant aggregation rule for distributed Stochastic Gradient Descent (SGD). Krum guarantees the convergence of SGD even in a distributed setting where (asymptotically) up to half of the workers can be malicious adversaries trying to attack the learning system.
引用
收藏
页码:455 / 457
页数:3
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