Cited By
View all- Jalali NHongsong C(2025)Federated learning incentivize with privacy-preserving for IoT in edge computing in the context of B5GCluster Computing10.1007/s10586-024-04788-728:2Online publication date: 1-Apr-2025
Massive internet of things (IoT) data generated by IoT edge devices are shaping the data economy. Monetizing the stream of IoT data has enabled the development of IoT data trading systems, which allow individuals to sell and exchange data. This ...
Blockchain technology combined with Federated Learning (FL) offers a promising solution for enhancing privacy, security, and efficiency in medical IoT applications across edge, fog, and cloud computing environments. This approach enables multiple ...
The advent of technologies like IoT and 5G brought a new computing paradigm called cloud computing into the world. Cloud computing has become the main platform for data warehousing and processing. However, storing data into the cloud has its own ...
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