COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES
The performance analysis of client-side and server-side machine learning technologies is important for understanding the optimal way to model optimization. The study aims to analyze the training time of the model, taking into account parameters such as the number of likes, comments and shares accord...
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| Format: | Article |
| Language: | English |
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Ivan Franko National University of Lviv
2024-09-01
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| Series: | Електроніка та інформаційні технології |
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| Online Access: | http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4468 |
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| _version_ | 1850164849981521920 |
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| author | I. Mysiuk Roman Shuvar |
| author_facet | I. Mysiuk Roman Shuvar |
| author_sort | I. Mysiuk |
| collection | DOAJ |
| description | The performance analysis of client-side and server-side machine learning technologies is important for understanding the optimal way to model optimization. The study aims to analyze the training time of the model, taking into account parameters such as the number of likes, comments and shares according to the text of a post in social networks. Natural language processing (NLP) requires significant computing power, so it is important to determine whether it is more efficient to train models on client devices or on servers. TensorFlow for JavaScript can provide client-side computation, while Python can use server-side resources. The obtained results confirm that the models in web machine learning require optimization and are slower than in the server implementation, taking into account the training execution time. Therefore, the size of the data is important for effective machine learning of the model in client-side computing. |
| format | Article |
| id | doaj-art-0ef486f599b84fb6a0d77ed1df358440 |
| institution | OA Journals |
| issn | 2224-087X 2224-0888 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Ivan Franko National University of Lviv |
| record_format | Article |
| series | Електроніка та інформаційні технології |
| spelling | doaj-art-0ef486f599b84fb6a0d77ed1df3584402025-08-20T02:21:52ZengIvan Franko National University of LvivЕлектроніка та інформаційні технології2224-087X2224-08882024-09-0127344210.30970/eli.27.3COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIESI. Mysiuk0Roman Shuvar1Ivan Franko National University of LvivIvan Franko National University of LvivThe performance analysis of client-side and server-side machine learning technologies is important for understanding the optimal way to model optimization. The study aims to analyze the training time of the model, taking into account parameters such as the number of likes, comments and shares according to the text of a post in social networks. Natural language processing (NLP) requires significant computing power, so it is important to determine whether it is more efficient to train models on client devices or on servers. TensorFlow for JavaScript can provide client-side computation, while Python can use server-side resources. The obtained results confirm that the models in web machine learning require optimization and are slower than in the server implementation, taking into account the training execution time. Therefore, the size of the data is important for effective machine learning of the model in client-side computing.http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4468machine learningclient-side computingserver-side computingmodel trainingtext analysisnatural language processingtensorflowlearning timesocial networks |
| spellingShingle | I. Mysiuk Roman Shuvar COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES Електроніка та інформаційні технології machine learning client-side computing server-side computing model training text analysis natural language processing tensorflow learning time social networks |
| title | COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES |
| title_full | COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES |
| title_fullStr | COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES |
| title_full_unstemmed | COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES |
| title_short | COMPARATIVE ANALYSIS THE PERFORMANCE OF CLIENT-SIDE AND SERVER-SIDE MACHINE LEARNING TECHNOLOGIES |
| title_sort | comparative analysis the performance of client side and server side machine learning technologies |
| topic | machine learning client-side computing server-side computing model training text analysis natural language processing tensorflow learning time social networks |
| url | http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4468 |
| work_keys_str_mv | AT imysiuk comparativeanalysistheperformanceofclientsideandserversidemachinelearningtechnologies AT romanshuvar comparativeanalysistheperformanceofclientsideandserversidemachinelearningtechnologies |