The problem of minimizing a sum of local convex functions which are only accessible to specific agents of a network is a significant issue. It naturally appears in the field of network resource allocation, motion planning, wireless networks, collaborative control, cognitive networks, statistical inference, estimation, and machine learning, etc., [1–10].


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Li, Huaqing (author) / Lü, Qingguo (author) / Wang, Zheng (author) / Liao, Xiaofeng (author) / Huang, Tingwen (author)


    Publication date :

    2020-08-05


    Size :

    20 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Quantized Communication-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