Emerging Industrial Applications: Orchestration of Machine Learning, the IoT, and Blockchain
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: closed (24 December 2023) | Viewed by 91319
Special Issue Editors
2. Associated Senior Researcher, INRIA-AIO Paris, 75012 Paris, France
3. Associated Researcher, CNAM-Cedric, 75003 Paris, France
Interests: machine learning; IoT; security and blockchain
Special Issues, Collections and Topics in MDPI journals
Interests: IoT/CPS; IoT security; trusted computing; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The significant trend of digital phase-shifts has been synergized by different artefacts—machine learning (ML) and the Internet of Things (IoT) and their associated security measures with the help of Blockchain and distributed ledger technologies. However, these technologies are developing independently, even though they are converging closer and closer to each other. We envisage a steady orchestration and combination of these technologies, formulating real, balanced industrial use-cases and challenges to be resolved—for example, training a binary hash with a machine learning algorithm to fit the result toward distributed ledger and blockchain toward IoT technologies. We also anticipate overlaps with existing consensus algorithms for use in the industrial IoT. It is therefore pivotal to organize and accumulate all such research ideas under a single issue.
This Special Issue invites papers on innovative ideas in, but not limited to
- Lightweight deep learning models and blockchain-based architectures for the IoT;
- ML impressed blockchain for emerging IoT applications;
- Privacy and accountability of ML-enabled IoT systems;
- Energy-efficient computing architecture for secure IoT applications;
- Analytical aspects of ML and blockchain converged IoT/Edge devices;
- Energy-efficient communication protocols for IoT systems powered by AI and blockchain;
- Intelligent and optimized consensus algorithms;
- Different versions of reinforcement learning and federated learning for IoT and blockchain implementations.
Dr. Soumya Banerjee
Prof. Dr. Samia Bouzefrane
Guest Editors
Manuscript Submission Information
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Keywords
- IoT
- machine learning
- blockchain
- consensus
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