Information Theory for Distributed Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (25 July 2024) | Viewed by 12428
Special Issue Editor
Interests: coded distributed computation; privacy-preserving and trustworthy computing and learning; blockchain security and scalability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern information systems, which are often distributed in nature in order to store and process massive amounts of data and information, are facing tremendous challenges related to storage/computation/communication efficiency, resource heterogeneity, privacy and security, and scalability. While information and coding theoretic techniques have conventionally been developed to improve the efficiency and reliability of communication and storage systems, they have started to find applications in addressing the challenges of modern distributed systems, including edge computing networks, content delivery networks, cloud computing systems, distributed/federated learning systems, and blockchain systems.
The aim of this Special Issue is to attract research investigations, from an information-theoretic perspective, on the fundamental limits of critical metrics in distributed systems such as computation/communication efficiency, privacy and security, accuracy, and scalability, as well as the development of information and coding theoretic tools to achieve optimal performance. Prospective authors are invited to submit original research contributions on topics including, but not limited to:
- Coding for distributed storage systems;
- Coded caching networks;
- Coded distributed computation;
- Distributed and federated learning systems;
- Distributed private information and function retrieval;
- Distributed ledgers/blockchains;
- Secure multi-party computation and verifiable computation.
Prof. Dr. Songze Li
Guest Editor
Manuscript Submission Information
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Keywords
- coded caching
- communication bottlenecks
- straggler/dropout resilience
- coded distributed computation
- privacy and security
- distributed and federated learning
- private information and function retrieval
- secret sharing and threshold multi-party computation
- verifiable computation
- security–scalability tradeoff for blockchains
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