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              <text>Systematic Review on Decentralised Artificial Intelligence and Its Applications</text>
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              <text>Artificial Intelligence; Blockchain; Data Privacy; Decentralised; Federated Learning; Machine Learning</text>
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              <text>Initially, Artificial Intelligence (AI) models were centralized. This resulted in various challenges. To overcome this challenge, the decentralized or distributed frameworks were developed. Recent advancements in blockchain technology and cryptography have accelerated the decentralization process. Decentralized Artificial Intelligence (DAI) is gaining a significant research attention in recent times. This study reviews various DAI techniques such as Decentralized machine learning frameworks, Federated Learning and Distributed AI marketplaces. In particular, this study focuses on reviewing the recent developments in DAI by analyzing its potential advantages and challenges.   2023 IEEE.</text>
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              <text>Vincent M.; George A.E.; Christa T.S.; Jayapandian N.</text>
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              <text>International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, pp. 241-246.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICIDCA56705.2023.10100017" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIDCA56705.2023.10100017&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835039720-8</text>
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              <text>Vincent M., Christ University, Department of Cse, Bangalore, India; George A.E., Christ University, Department of Cse, Bangalore, India; Christa T.S., Christ University, Department of Cse, Bangalore, India; Jayapandian N., Christ University, Department of Cse, Bangalore, India</text>
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