There are two possible solutions for this performance bottleneck problem. The first solution is to have a federated learning Blockchain to assist fog computing [102]. This solution provides increased security and efficiency for the Blockchain suitable for decentralized privacy protection. The alternate ...
Federated learning (FL) is a promising decentralized deep learning technology, which allows users to update models cooperatively without sharing their data
Sustainable Resource Allocation and Reduce Latency Based on Federated-Learning-Enabled Digital Twin in IoT Devices In this article, we utilize Digital Twins (DT) with edge networks using blockchain technology for reliable real-time data processing and provide a secure, ... MA Alhartomi,A Salh,...
The combination of blockchain, XAI, and federated learning approaches will provide the explainability of decisions taken with help of sensor data and also ensures data privacy among the users. It also improve the quality of digital twins in the metaverse [9]. 4.3. Blockchain for AI in the ...
2. Blockchain, Internet of Things, Fog, Cloud of Things, and SDN paradigm This section describes blockchain technologies in detail and includes issues that arise with blockchain and IoT, Fog of Things, Cloud of Things, and SDN. The basics of blockchain are provided in the next section 2.1...
Design and Implementation of Monitoring Schemes for Software-Defined Routing over a Federated Multi-domain SDN Testbed Emerging Software-Defined Networking (SDN) paradigm has been widely affecting most networking fields. However, the real-world SDN application for inter-dom... PW Tsai,AC Risdianto,TC...
Machine, Deep, Federated, and Transfer Learning for Smart Cities powered with Beyond 5G/6G Secure SDN, Network Slicing, and Edge Computing for Smart Cities with Beyond 5G/6G AI enabled zero-touch networks for Smart cities with Beyond 5G/6G ...
Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health. There is a paucity of largescale collaborative initiatives in orthodontics and craniofacial health. Such nationally representative projects would yield fin... V Allareddy,S Rampa,S Ven...
Chen Y, Liang L, Gao W (2023) DFedSN: Decentralized federated learning based on heterogeneous data in social networks. World Wide Web 1–24 Chi C, Wang Y, Tong X et al (2021) Game theory in internet of things: a survey. IEEE Internet Things J 9(14):12,125-12,146 ...
COVID-19’s current worldwide health issue necessitates tracking patients without a centralized entity, tamper-proof data exchange, and ensuring privacy while collecting COVID-19 data. To address COVID-19 issues, blockchain can be highly beneficial. The use of federated AI and learning in block...