Information Theory for Distributed Systems

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

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