Edge Computing with Artificial Intelligence: A Machine Learning Perspective

نویسندگان

چکیده

Recent years have witnessed the widespread popularity of Internet things (IoT). By providing sufficient data for model training and inference, IoT has promoted development artificial intelligence (AI) to a great extent. Under this background trend, traditional cloud computing may nevertheless encounter many problems in independently tackling massive generated by meeting corresponding practical needs. In response, new called edge (EC) drawn extensive attention from both industry academia. With continuous deepening research on EC, however, scholars found that (non-AI) methods their limitations enhancing performance EC. Seeing successful application AI various fields, EC researchers start set sights AI, especially perspective machine learning, branch gained increased past decades. article, we first explain formal definition reasons why become favorable model. Then, discuss interest We summarize solutions hightlight limitations. explaining results using optimize applying other fields under architecture, article can serve as guide explore ideas these two aspects while enjoying mutually beneficial relationship between

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ژورنال

عنوان ژورنال: ACM Computing Surveys

سال: 2023

ISSN: ['0360-0300', '1557-7341']

DOI: https://doi.org/10.1145/3555802