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All Journal Journal of Accounting and Investment Technomedia Journal Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Aptisi Transactions on Technopreneurship (ATT) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Milestone: Journal of Strategic Management Feedforward: Journal of Human Resource Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Eduvest - Journal of Universal Studies International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT)
Jayanagara, Oscar
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Library & Information Science Neuroscience Social Sciences

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Journal : Blockchain Frontier Technology (BFRONT)

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The Effectiveness of Using Blockchain Technology as A Machine Learning Program Sutarman, Asep; Kallas, Evelin; Jayanagara, Oscar
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.576

Abstract

 Several successful papers and applications have demonstrated machine learning's limitless potential. However, when we immerse ourselves in powerful machine learning-based systems or applications, two critical research issues arise: how to ensure that the searched results of a machine learning system are not tampered with by anyone and how to prevent other users in the same network environment from easily obtaining our private data. This predicament is similar to that of other modern information systems that face security and privacy concerns. The introduction of blockchain technology presents us with an alternate method of addressing these two challenges. As a result, recent research has sought to construct machine learning systems using blockchain technology or to apply machine learning methods to blockchain systems. In this study, we provided a parallel framework to identify acceptable deep learning hyperparameters in a blockchain context using a metaheuristic algorithm to demonstrate what the combination of blockchain and machine learning is capable of. The suggested system also takes communication costs into consideration by restricting the amount of information transfers between miners and blockchain.
Co-Authors Adawiyah, Al Ahda Adijaya, Albert Alam, Annisa Nurul Andri, Febby Arum Ratna Pratiwi, Arum Ratna Bayasut, Mahir Budi W. Soetjipto Godwin, Gelard Julianingsih, Dwi Kallas, Evelin KOSUKE MIZUNO, KOSUKE Kristi, Maria Ivena Kurniawaty Iskandar Lailly, Mirna Fauziah Ligia, Emila Marinka, Sheisa Megananda, Alena Frizka MIA SISCAWATI Patricia, Anastasia Putri, Adinda Adia Ramadhani, Dwinanda Farizka Silva, Gabriel Surajaya, I Ketut Sutarman, Asep Widiati, Restu