Publications

@inproceedings{24937dd44de3487eb2fb49f3ffd79982,

title = {Machine Learning as a Service: Challenges in Research and Applications},

author = {Robert Philipp and Andreas Mladenow and Christine Strauss and Alexander Voelz},

editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},

doi = {10.1145/3428757.3429152},

year  = {2020},

date = {2020-11-30},

booktitle = {Proceedings of the 22nd International Conference on Information Integration and Web-based Applications& Services (iiWAS2020)},

pages = {396--406},

publisher = {ACM},

series = {ACM International Conference Proceeding Series (ICPS)},

abstract = {This study aims to evaluate the current state of research with regards to Machine Learning as a Service (MLaaS) and to identify challenges and research fields of this novel topic. First, a literature review on a basket of eight leading journals was performed. We motivate this study by identifying a lack of studies in the field of MLaaS. The structured literature review was further extended to established scientific databases relevant in this field. We found 30 contributions on MLaaS. As a result of the analysis we grouped them into four key concepts: Platform, Applications; Performance Enhancements and Challenges. Three of the derived concepts are discussed in detail to identify future research areas and to reveal challenges in research as well as in applications.},

note = {Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020},

keywords = {Machine Learning, Machine Learning as a Service, Machine Learning Platform, Machine Learning Services, MLaaS},

pubstate = {published},

tppubtype = {inproceedings}

}