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Decentralized Artificial Intelligence on Blockchain

Yatrik Buch1 , Mosin Hasan2 , Prashant Swadas3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 844-848, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.844848

Online published on Feb 28, 2019

Copyright © Yatrik Buch, Mosin Hasan, Prashant Swadas . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Yatrik Buch, Mosin Hasan, Prashant Swadas, “Decentralized Artificial Intelligence on Blockchain,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.844-848, 2019.

MLA Style Citation: Yatrik Buch, Mosin Hasan, Prashant Swadas "Decentralized Artificial Intelligence on Blockchain." International Journal of Computer Sciences and Engineering 7.2 (2019): 844-848.

APA Style Citation: Yatrik Buch, Mosin Hasan, Prashant Swadas, (2019). Decentralized Artificial Intelligence on Blockchain. International Journal of Computer Sciences and Engineering, 7(2), 844-848.

BibTex Style Citation:
@article{Buch_2019,
author = {Yatrik Buch, Mosin Hasan, Prashant Swadas},
title = {Decentralized Artificial Intelligence on Blockchain},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {844-848},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3755},
doi = {https://doi.org/10.26438/ijcse/v7i2.844848}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.844848}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3755
TI - Decentralized Artificial Intelligence on Blockchain
T2 - International Journal of Computer Sciences and Engineering
AU - Yatrik Buch, Mosin Hasan, Prashant Swadas
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 844-848
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Blockchain’s integration with various domains beyond cryptocurrency has produced exciting results and innovative products. Blockchain’s capabilities of being distributed peer-to-peer network, scalability, reliability and security has potential to solve many challenges faced by AI and at the same time add exciting features to it. This article analyses and reviews many existing research where Blockchain is integrated with AI. These research works have produced many encouraging results for data privacy, security, distributed processing and trustless collaboration. Blockchain has also contributed to enhance security of the AI system and bring trust among various AI systems. Cryptocurrency has also added trading capabilities to AI and encouraged models like AI as Service. This article also discusses scope for future research work. With more maturity and feature fullness, Blockchain is poised to become one of the most suitable platforms for decentralized AI applications.

Key-Words / Index Term

Blockchain, Artificial Intelligence, Machine Learning, Deep Learning, Robotics, Decentralized Applications

References

[1] M. Swan, "Blockchain Thinking: The Brain as a DAC(Decentralized Autonomous Organization)," in Texas Bitcoin Conference, 2015.
[2] "Proof of Work," Wikipedia, 16 01 2019. [Online]. Available: https://en.wikipedia.org/wiki/Proof-of-work_system. [Accessed 21 01 2019].
[3] "Proof of Stake," wikipedia, 18 01 2019. [Online]. Available: https://en.wikipedia.org/wiki/Proof-of-stake. [Accessed 21 01 2019].
[4] G. J. Mendis, M. Sabounchi, J. Wei and R. Roche, "Blockchain as a Service: An Autonomous, Privacy Preserving, Decentralized Architecture for Deep Learning," 05 07 2018. [Online]. Available: https://arxiv.org/abs/1807.02515. [Accessed 21 01 2019].
[5] M. Galtier and C. Marini, "Morpheo Traceable Machine Learning on Hidden data," [Online]. Available: https://arxiv.org/abs/1704.05017.
[6] N. K. Bore, R. K. Raman, I. M. Markus, S. L. Remy, O. Bent, M. Hind, E. K. Pissadaki, B. Srivastava, R. Vaculin, K. R. Varshney and K. Weldemariam, "Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network," [Online]. Available: https://arxiv.org/abs/1810.11126. [Accessed 20 01 2019].
[7] M. Shayan, C. Fung, C. J. Yoon and I. Beschastnikh, "Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning," 27 11 2018. [Online]. Available: https://arxiv.org/abs/1811.09904. [Accessed 21 01 2019].
[8] A. B. Kurtulmus and K. Daniel, "Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain," 2018.
[9] T.-T. Kuo and L. Ohno-Machado, "ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks," [Online]. Available: https://arxiv.org/abs/1802.01746. [Accessed 20 01 2019].
[10] E. C. Ferrer, "The blockchain: a new framework for robotic swarm systems," in FTC 2018: Proceedings of the Future Technologies Conference (FTC) 2018, 2018.
[11] SingularityNET Foundation, "SingularityNET: A decentralized, open market and inter-network for AIs," [Online]. Available: https://public.singularitynet.io/whitepaper.pdf. [Accessed 20 01 2019].
[12] DeepBrain Chain Foundation, "DeepBrain Chain Whitepaper," [Online]. Available: https://www.deepbrainchain.org/assets/pdf/DeepBrainChainWhitepaper_en.pdf. [Accessed 20 01 2019].
[13] "Blockchain," Wikipedia, 02 12 2018. [Online]. Available: https://en.wikipedia.org/wiki/Blockchain. [Accessed 03 12 2018].
[14] "Machine Learning," Wikipedia, 30 11 2018. [Online]. Available: https://en.wikipedia.org/wiki/Machine_learning. [Accessed 03 12 2018].
[15] Wikipedia, "Ethereum," Wikipedia, 19 01 2019. [Online]. Available: https://en.wikipedia.org/wiki/Ethereum. [Accessed 21 01 2019].