Aleksandrova, E., Anagnostopoulos, C., & Kolomvatsos, K. (2019, June). Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach. 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC), 1-8. https://doi.org/10.1109/ISPDC.2019.000-4
Chicago Style (17th ed.) CitationAleksandrova, Ekaterina, Christos Anagnostopoulos, and Kostas Kolomvatsos. "Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach." 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC) Jun. 2019: 1-8. https://doi.org/10.1109/ISPDC.2019.000-4.
MLA (9th ed.) CitationAleksandrova, Ekaterina, et al. "Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach." 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC), Jun. 2019, pp. 1-8, https://doi.org/10.1109/ISPDC.2019.000-4.