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MobDL: A framework for profiling deep learning models: A case study using mobile digital health applications
conference contribution
posted on 2020-12-07, 00:00 authored by A R M Forkan, P P Jayaraman, R Kaul, Yuxin ZhangYuxin Zhang, C Mccarthy, P Delir Haghighi, R RanjanMobDL: A framework for profiling deep learning models: A case study using mobile digital health applications
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EAI Mobile and Ubiquitous Systems : Computing, Networking and Services. Conference (17th : 2020 : Darmstadt, Germany)Pagination
405 - 414Publisher
Association for Computing MachineryLocation
Darmstadt, GermanyPlace of publication
New York, N.Y.Publisher DOI
Start date
2020-12-07End date
2020-12-09ISBN-13
9781450388405Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
MobiQuitous 2020 : Proceedings of the 17th EAI International Conference on Mobile and Ubiquitous Systems : Computing, Networking and ServicesUsage metrics
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