JOURNAL ARTICLE

Blockchain Technology for Deep Learning Applications: a Systematic Mapping Study

Bianchi Edoardo

Year: 2023 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

This paper presents a systematic mapping study on the use of blockchain technology in deep learning applications. The study aims to map the current state of research and highlight potential areas for future work. In particular, we are interested in analyzing the types of research conducted, the most common application domains, and the expected benefits and reasons that motivate the use of blockchain. We selected more than a thousand articles from digital libraries and applied inclusion-exclusion criteria to select relevant studies, which were then analyzed according to a structured methodology. The result of the analysis provides an overview of the research area from different perspectives.

Keywords:
Deep learning Blockchain State (computer science) Distributed ledger Systematic review

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Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Big Data and Digital Economy
Physical Sciences →  Computer Science →  Information Systems
Internet of Things and AI
Physical Sciences →  Computer Science →  Information Systems

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