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A zeroth-order algorithm for distributed optimization with stochastic stripe observations

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References

  1. Ram S S, Nedić A, Veeravalli V V. Distributed stochastic subgradient projection algorithms for convex optimization. J Optim Theor Appl, 2010, 147: 516–545

    Article  MathSciNet  MATH  Google Scholar 

  2. Wang Y H, Lin P, Hong Y G. Distributed regression estimation with incomplete data in multi-agent networks. Sci China Inf Sci, 2018, 61: 092202

    Article  MathSciNet  Google Scholar 

  3. Anit K S, Dusan J, Dragana B, et al. Distributed zeroth order optimization over random networks: a Kiefer-Wolfowitz stochastic approximation approach. In: Proceedings of IEEE Conference on Decision and Control (CDC), 2018

  4. Wang Y, Zhao W, Hong Y, et al. Distributed subgradientfree stochastic optimization algorithm for nonsmooth convex functions over time-varying networks. SIAM J Control Optim, 2019, 57: 2821–2842

    Article  MathSciNet  MATH  Google Scholar 

  5. Yuan D, Ho D W C, Xu S. Zeroth-order method for distributed optimization with approximate projections. IEEE Trans Neural Netw Learn Syst, 2015, 27: 284–294

    Article  MathSciNet  Google Scholar 

  6. Yuan D M, Ho D W C. Randomized gradient-free method for multiagent optimization over time-varying networks. IEEE Trans Neural Netw Learn Syst, 2014, 26: 1342–1347

    Article  MathSciNet  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 72101026, 61621063), State Key Laboratory of Intelligent Control and Decision of Complex Systems, and Fundamental Research Funds for the China Central Universities of USTB (Grant No. FRF-TP-22-141A1).

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Correspondence to Xianlin Zeng.

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Appendixes A and B. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Wang, Y., Zeng, X., Zhao, W. et al. A zeroth-order algorithm for distributed optimization with stochastic stripe observations. Sci. China Inf. Sci. 66, 199202 (2023). https://doi.org/10.1007/s11432-022-3637-y

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  • DOI: https://doi.org/10.1007/s11432-022-3637-y

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