This special issue will focus on exploring the intersection of privacy and security with information and coding theory, as well as applications in communication theory, cryptography, computer science, machine learning, and hardware security.

Sequential methods underpin many of the most powerful learning techniques, such as reinforcement learning, multi-armed bandits, online convex optimization, and active learning. Although many practical algorithms have been developed for sequential learning, there is a strong need to develop theoretical foundations and to understand fundamental limits. Herein lies an excellent opportunity for information theory to provide answers given its vast arsenal of versatile techniques. At the same time, sequential learning has already started to motivate new problems and insights in information theory and has led to new perspectives. This special issue seeks to fertilize new topics at the intersection of information theory and sequential, active, and reinforcement learning, promoting synergy along the way.

The CFP for JSAIT's 7th Special Issue. The focus of this special issue is on the applications of coding to the broad area of networking for efficient exploitation and delivery of data. Various coding techniques have been devised to tackle erasures and achieve fundamental limits of compression to recover a message with a fidelity criterion. Motivated by the research in this direction and a wide variety of applications at the intersection of distributed systems and networking, this special issue will focus on key aspects ranging from employment of coding for enhancing the efficiency of networking, protocols, computation and delivery in distributed systems, to maintaining consistency in updates and improving accessibility in distributed storage systems, as well as providing desired performance tradeoffs in terms of efficiency, delay and atomicity.

JSAIT's first special issue will focus on the mathematical foundations of deep learning as well as applications across information science.

This special issue will focus on Quantum Information Science, especially Communication and Computing. It will aim to bridge theory, practice and basic science, ranging from the state-of-the-art in quantum computing, to communication, coding, cryptography, and compression, as well as the current challenges remaining. An overarching theme is how the information-theoretic and quantum-physical perspectives complement each other in building these quantum technologies.