Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning
Combining blockchain technology with artificial intelligence (AI) offers revolutionary possibilities for developing strong solutions that capitalize on each technology's own advantages. Blockchain technology makes self-executing agreements possible by enabling smart contracts, which reduce the...
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Department of Informatics, UIN Sunan Gunung Djati Bandung
2025-04-01
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| Online Access: | https://join.if.uinsgd.ac.id/index.php/join/article/view/1392 |
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| author | Sandi Rahmadika Winda Agustiarmi Ryan Fikri Bruno Joachim Kweka |
| author_facet | Sandi Rahmadika Winda Agustiarmi Ryan Fikri Bruno Joachim Kweka |
| author_sort | Sandi Rahmadika |
| collection | DOAJ |
| description | Combining blockchain technology with artificial intelligence (AI) offers revolutionary possibilities for developing strong solutions that capitalize on each technology's own advantages. Blockchain technology makes self-executing agreements possible by enabling smart contracts, which reduce the need for middlemen and increase efficiency by precisely encoding contractual terms in code. By using AI oracles, these contracts can communicate with outside data sources and make well-informed decisions based on actual occurrences. Additionally, there is a lot of potential for improving machine learning and data interchange in terms of privacy, security, and transparency through the integration of blockchain with federated learning. In order to provide accountability and transparency, the blockchain's immutable ledger can painstakingly record every transaction that takes place during the federated learning process, from data submissions to model modifications and remuneration. Participants in federated learning networks also develop trust because of blockchain's transparency and resistance to tampering. Strong participant verification procedures are put in place to strengthen data integrity and model updates, which raises the system's overall reliability. In the end, this chapter examines novel research avenues for combining blockchain technology with federated learning, providing practical methods and strategies to improve transaction security and privacy and opening the door to a new era of reliable and effective machine learning applications. |
| format | Article |
| id | doaj-art-2d09fc967ced41d1bda82b0148beaecf |
| institution | OA Journals |
| issn | 2528-1682 2527-9165 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Department of Informatics, UIN Sunan Gunung Djati Bandung |
| record_format | Article |
| series | JOIN: Jurnal Online Informatika |
| spelling | doaj-art-2d09fc967ced41d1bda82b0148beaecf2025-08-20T02:06:01ZengDepartment of Informatics, UIN Sunan Gunung Djati BandungJOIN: Jurnal Online Informatika2528-16822527-91652025-04-01101223110.15575/join.v10i1.13921397Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated LearningSandi Rahmadika0https://orcid.org/0000-0002-7848-6579Winda Agustiarmi1Ryan Fikri2Bruno Joachim Kweka3Department of Electronic Engineering, Faculty of Engineering Faculty of Engineering, Universitas Negeri Padang, Sumatera BaratDepartment of Electronic Engineering, Faculty of Engineering Faculty of Engineering, Universitas Negeri Padang, Sumatera BaratDepartment of Electronic Engineering, Faculty of Engineering Faculty of Engineering, Universitas Negeri Padang, Sumatera BaratCyber Studies, The University of Tulsa, United States of America, 800 S Tucker Dr, Tulsa, OK 74104Combining blockchain technology with artificial intelligence (AI) offers revolutionary possibilities for developing strong solutions that capitalize on each technology's own advantages. Blockchain technology makes self-executing agreements possible by enabling smart contracts, which reduce the need for middlemen and increase efficiency by precisely encoding contractual terms in code. By using AI oracles, these contracts can communicate with outside data sources and make well-informed decisions based on actual occurrences. Additionally, there is a lot of potential for improving machine learning and data interchange in terms of privacy, security, and transparency through the integration of blockchain with federated learning. In order to provide accountability and transparency, the blockchain's immutable ledger can painstakingly record every transaction that takes place during the federated learning process, from data submissions to model modifications and remuneration. Participants in federated learning networks also develop trust because of blockchain's transparency and resistance to tampering. Strong participant verification procedures are put in place to strengthen data integrity and model updates, which raises the system's overall reliability. In the end, this chapter examines novel research avenues for combining blockchain technology with federated learning, providing practical methods and strategies to improve transaction security and privacy and opening the door to a new era of reliable and effective machine learning applications.https://join.if.uinsgd.ac.id/index.php/join/article/view/1392artificial intelligenceblockchainfederated learningprivacysmart contracts |
| spellingShingle | Sandi Rahmadika Winda Agustiarmi Ryan Fikri Bruno Joachim Kweka Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning JOIN: Jurnal Online Informatika artificial intelligence blockchain federated learning privacy smart contracts |
| title | Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning |
| title_full | Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning |
| title_fullStr | Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning |
| title_full_unstemmed | Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning |
| title_short | Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning |
| title_sort | synergistic disruption harnessing ai and blockchain for enhanced privacy and security in federated learning |
| topic | artificial intelligence blockchain federated learning privacy smart contracts |
| url | https://join.if.uinsgd.ac.id/index.php/join/article/view/1392 |
| work_keys_str_mv | AT sandirahmadika synergisticdisruptionharnessingaiandblockchainforenhancedprivacyandsecurityinfederatedlearning AT windaagustiarmi synergisticdisruptionharnessingaiandblockchainforenhancedprivacyandsecurityinfederatedlearning AT ryanfikri synergisticdisruptionharnessingaiandblockchainforenhancedprivacyandsecurityinfederatedlearning AT brunojoachimkweka synergisticdisruptionharnessingaiandblockchainforenhancedprivacyandsecurityinfederatedlearning |