On the Parallelization Upper Bound for Asynchronous Stochastic Gradients Descent in Non-convex Optimization
Crossref DOI link: https://doi.org/10.1007/s10957-022-02141-9
Published Online: 2022-12-04
Published Print: 2023-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Lifu
Shen, Bo
Funding for this research was provided by:
Fundamental Research Funds for Central Universities (2020YJS012)
Text and Data Mining valid from 2022-12-04
Version of Record valid from 2022-12-04
Article History
Received: 16 January 2022
Accepted: 19 November 2022
First Online: 4 December 2022