Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm
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Publication:2666749
DOI10.1016/j.ins.2020.05.119zbMath1474.68392OpenAlexW3034126546MaRDI QIDQ2666749
Yuan-Wei Lv, Guang-Hong Yang, Chong-Xiao Shi
Publication date: 23 November 2021
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2020.05.119
Convex programming (90C25) Distributed algorithms (68W15) Agent technology and artificial intelligence (68T42) Privacy of data (68P27)
Related Items (5)
Quantized event-triggered communication based multi-agent system for distributed resource allocation optimization ⋮ Distributed cooperative optimization for multiple heterogeneous Euler-Lagrangian systems under global equality and inequality constraints ⋮ Resilient penalty function method for distributed constrained optimization under Byzantine attack ⋮ Online distributed dual averaging algorithm for multi-agent bandit optimization over time-varying general directed networks ⋮ Predefined-time distributed optimization of general linear multi-agent systems
Uses Software
Cites Work
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