In recent years, with the rapid development of science and information technology, more and more researchers have paid their research attention to multi-agent systems and have obtained many remarkable achievements [1–12]. On the one hand, multi-agent system provides a theoretical research method for modeling and analysis of complex systems [13–16]. On the other hand, multi-agent system is also an important branch of distributed artificial intelligence research [17, 18].


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    Titel :

    Achieving Linear Convergence of Distributed Optimization over Time-Varying Directed Networks with Column-Stochastic Weight Matrices


    Beteiligte:
    Li, Huaqing (Autor:in) / Lü, Qingguo (Autor:in) / Wang, Zheng (Autor:in) / Liao, Xiaofeng (Autor:in) / Huang, Tingwen (Autor:in)


    Erscheinungsdatum :

    2020-08-05


    Format / Umfang :

    24 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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    Random Sleep Scheme-Based Distributed Optimization over Time-Varying Directed Networks

    Li, Huaqing / Lü, Qingguo / Wang, Zheng et al. | Springer Verlag | 2020


    Asynchronous Broadcast-Based Distributed Optimization over Unbalanced Directed Networks

    Li, Huaqing / Lü, Qingguo / Wang, Zheng et al. | Springer Verlag | 2020


    Distributed ADMM for Time-Varying Communication Networks

    Tian, Zhuojun / Zhang, Zhaoyang / Jin, Richeng | IEEE | 2022