Brief Announcement

DOI10.1145/3087801.3087861zbMath1380.68330OpenAlexW2736624214MaRDI QIDQ5369003

El-Mahdi El-Mhamdi, Peva Blanchard, Julien Stainer, Rachid Guerraoui

Publication date: 11 October 2017

Published in: Proceedings of the ACM Symposium on Principles of Distributed Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/3087801.3087861

zbMATH Keywords

adversarial machine learningattacking machine learningdistributed stochastic gradient descent

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Distributed algorithms (68W15)

Related Items

Discussion of: ‘A review of distributed statistical inference’ ⋮ Byzantine-robust federated learning via credibility assessment on non-IID data ⋮ Genuinely distributed Byzantine machine learning ⋮ Byzantine-robust distributed sparse learning for \(M\)-estimation ⋮ An accurate, scalable and verifiable protocol for federated differentially private averaging ⋮ Byzantine-robust loopless stochastic variance-reduced gradient