High-dimensional \(M\)-estimation for Byzantine-robust decentralized learning

DOI10.1016/j.ins.2023.119808zbMath1527.62029MaRDI QIDQ6068679

Xudong Zhang, Lei Wang

Publication date: 13 November 2023

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

linear convergenceproximal algorithmgradient trackingByzantine attackssquare loss transformation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Convex programming (90C25)

Cites Work

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• Nearly unbiased variable selection under minimax concave penalty
• Robust machine learning by median-of-means: theory and practice
• Distributed differential privacy via shuffling
• Unsupervised cross-domain rolling bearing fault diagnosis based on time-frequency information fusion
• On the Convergence of Decentralized Gradient Descent
• Adaptation, Learning, and Optimization over Networks
• Adaptive Huber Regression
• The Byzantine Generals Problem
• Monotone Operators and the Proximal Point Algorithm
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks
• Distributed Subgradient Methods for Multi-Agent Optimization
• Byzantine-Resilient Multiagent Optimization
• Byzantine-robust distributed sparse learning for \(M\)-estimation

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