Zeroth-Order Methods for Online Distributed Optimization with Strongly Pseudoconvex Cost Functions

Xiaoxi YAN, Muyuan MA, Kaihong LU

Journal of Systems Science and Information ›› 2024, Vol. 12 ›› Issue (1) : 145-160.

PDF(292 KB)
中国科学院数学与系统科学研究院期刊网
JSSI
PDF(292 KB)
Journal of Systems Science and Information ›› 2024, Vol. 12 ›› Issue (1) : 145-160. DOI: 10.21078/JSSI-2023-0115
 

Zeroth-Order Methods for Online Distributed Optimization with Strongly Pseudoconvex Cost Functions

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. Journal of Systems Science and Information, 2024, 12(1): 145-160 https://doi.org/10.21078/JSSI-2023-0115

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(292 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉