Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach

Ekaterina Aleksandrova, Christos Anagnostopoulos, Kostas Kolomvatsos. Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach. In Alexandru Iosup, Radu Prodan, Alexandru Uta, Florin Pop, editors, 18th International Symposium on Parallel and Distributed Computing, ISPDC 2019, Amsterdam, The Netherlands, June 3-7, 2019. pages 1-8, IEEE, 2019. [doi]

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