Academic Journal
Blockchain controlled trustworthy federated learning platform for smart homes
| العنوان: | Blockchain controlled trustworthy federated learning platform for smart homes |
|---|---|
| المؤلفون: | Sujit Biswas, Kashif Sharif, Zohaib Latif, Mohammed J. F. Alenazi, Ashok Kumar Pradhan, Anupam Kumar Bairagi |
| المصدر: | IET Communications, Vol 18, Iss 20, Pp 1840-1852 (2024) |
| بيانات النشر: | Wiley, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Telecommunication |
| مصطلحات موضوعية: | computer network security, blockchain, federated learning, Telecommunication, TK5101-6720 |
| الوصف: | Abstract Smart device manufacturers rely on insights from smart home (SH) data to update their devices, and similarly, service providers use it for predictive maintenance. In terms of data security and privacy, combining distributed federated learning (FL) with blockchain technology is being considered to prevent single point failure and model poising attacks. However, adding blockchain to a FL environment can worsen blockchain's scaling issues and create regular service interruptions at SH. This article presents a scalable Blockchain‐based Privacy‐preserving Federated Learning (BPFL) architecture for an SH ecosystem that integrates blockchain and FL. BPFL can automate SHs' services and distribute machine learning (ML) operations to update IoT manufacturer models and scale service provider services. The architecture uses a local peer as a gateway to connect SHs to the blockchain network and safeguard user data, transactions, and ML operations. Blockchain facilitates ecosystem access management and learning. The Stanford Cars and an IoT dataset have been used as test bed experiments, taking into account the nature of data (i.e. images and numeric). The experiments show that ledger optimisation can boost scalability by 40–60% in BCN by reducing transaction overhead by 60%. Simultaneously, it increases learning capacity by 10% compared to baseline FL techniques. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1751-8636 1751-8628 |
| Relation: | https://doaj.org/toc/1751-8628; https://doaj.org/toc/1751-8636 |
| DOI: | 10.1049/cmu2.12870 |
| URL الوصول: | https://doaj.org/article/1354682a1eb1438eb381dc32b3401f15 |
| رقم الانضمام: | edsdoj.1354682a1eb1438eb381dc32b3401f15 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17518636 17518628 |
|---|---|
| DOI: | 10.1049/cmu2.12870 |