Advances in Decentralized Systems: Algorithms, Security, and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 2
Special Issue Editors
Interests: decentralized computing; information security; software engineering
Special Issues, Collections and Topics in MDPI journals
Interests: information security; software engineering; programming languages
Special Issues, Collections and Topics in MDPI journals
Interests: blockchain; data science; consensus mechanism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Decentralized systems have become a fundamental paradigm for next-generation computing, enabling scalable, resilient, and trust-aware infrastructures across diverse domains. From blockchain networks and distributed ledgers to decentralized machine learning and intelligent edge systems, these technologies are reshaping how data, computation, and decision-making are organized.
At the same time, the increasing complexity of decentralized environments introduces significant challenges in system efficiency, security, trustworthiness, and optimization. Addressing these challenges requires the integration of advanced algorithms, artificial intelligence, and data-driven methodologies, as well as novel approaches to system design and analysis.
This Special Issue aims to bring together recent advances in intelligent and trustworthy decentralized systems, with a particular focus on algorithmic foundations, system design, security mechanisms, and real-world applications. It seeks contributions that explore both theoretical developments and practical implementations across a wide range of decentralized computing environments.
Topics of interest include, but are not limited to:
- Decentralized and distributed computing systems;
- Blockchain technologies and distributed ledger systems;
- Security and trust mechanisms in decentralized environments;
- Optimization methods for decentralized systems;
- Decentralized machine learning and federated learning;
- Data-driven and AI-enabled decentralized systems;
- Consensus algorithms and system scalability;
- Cross-chain communication and interoperability;
- Performance analysis and system modeling;
- Applications in finance, smart cities, and networked systems;
- Security and performance optimization in the Internet of Things;
- Decentralized infrastructures for the Internet of Agents.
Dr. Yepeng Ding
Prof. Dr. Hiroyuki Sato
Prof. Dr. Akihiro Fujihara
Guest Editors
Manuscript Submission Information
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Keywords
- decentralized systems
- distributed computing
- blockchain and distributed ledger technologies
- decentralized machine learning
- federated learning
- security and trust in distributed systems
- consensus algorithms and protocols
- optimization in distributed systems
- cross-chain and interoperability
- data-driven and AI-enabled systems
- Internet of Agents
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