The field of decentralized systems and data storage is experiencing significant developments, with a focus on improving security, efficiency, and scalability. Researchers are exploring new approaches to mitigate attacks, such as Sybil attacks, and to enhance the reliability of distributed systems. Innovations in data storage, including novel erasure coding protocols and software-defined reliability architectures, are enabling more efficient and secure data storage solutions. Additionally, advancements in synchronization algorithms and polarization decomposition are improving the performance and efficiency of distributed data models. Noteworthy papers include: Polarization Decomposition and Its Applications, which provides new theoretical insights and practical values for polar code construction, and Walrus: An Efficient Decentralized Storage Network, which introduces a novel decentralized blob storage system that achieves high security with low replication overhead.