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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Application Areas, Benefits, and Research Challenges of Converging Blockchain and Machine Learning Techniques

verfasst von : A. Manimaran, Sam Goundar, D. Chandramohan, N. Arulkumar

Erschienen in: Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations

Verlag: Springer International Publishing

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Abstract

In recent years, machine learning (ML) has become a hot topic of research and application. ML model and huge amount of data growth difficulties still follow ML development. With the lack of new data and constant training, published ML models may soon become obsolete; unscrupulous data contributors may upload incorrectly labelled data, leading to poor training results; and data leakage and abuse are all possible outcomes. These issues can be effectively addressed by using blockchain, a new and rapidly evolving technology. With the advancement of various smart devices and the field of artificial intelligence and machine learning, interdisciplinary collaboration with blockchain technology may be incredibly valuable for future investigations. Collaborative ML and blockchain convergence can be studied here, with emphasis on how these two technologies can be combined and their application areas. On the other hand, look at the existing research’s shortcomings and future enhancements.

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Nächstes Kapitel Internet of Things and Blockchain in Healthcare: Challenges and Solutions
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Metadaten
Titel
Application Areas, Benefits, and Research Challenges of Converging Blockchain and Machine Learning Techniques
verfasst von
A. Manimaran
Sam Goundar
D. Chandramohan
N. Arulkumar
Copyright-Jahr
2024
Buch
Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations

Print ISBN: 978-3-031-35750-3

Electronic ISBN: 978-3-031-35751-0

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-35751-0_1

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