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

In: Distributed Optimization: Advances in Theories, Methods, and Applications

Author

Listed:
  • Huaqing Li

    (Southwest University, College of Electronic and Information Engineering)

  • Qingguo Lü

    (Southwest University, College of Electronic and Information Engineering)

  • Zheng Wang

    (Southwest University, College of Electronic and Information Engineering)

  • Xiaofeng Liao

    (Chongqing University, College of Computer Science)

  • Tingwen Huang

    (Texas A&M University at Qatar, Science Program)

Abstract

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].

Suggested Citation

  • Huaqing Li & Qingguo Lü & Zheng Wang & Xiaofeng Liao & Tingwen Huang, 2020. "Random Sleep Scheme-Based Distributed Optimization over Time-Varying Directed Networks," Springer Books, in: Distributed Optimization: Advances in Theories, Methods, and Applications, chapter 0, pages 141-160, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-6109-2_7
    DOI: 10.1007/978-981-15-6109-2_7
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