The field of distributed systems and coding theory is witnessing significant developments, with a focus on improving efficiency, reliability, and performance. Researchers are exploring innovative approaches to optimize batch sizes, construct spanning trees, and design codes that balance fault tolerance and locality. Notably, there is a growing interest in self-stabilizing protocols, high-throughput atomic broadcast protocols, and function-correcting codes. One of the key directions in this field is the development of novel coding techniques, such as locally recoverable codes and function-correcting codes, which offer improved reliability and error correction capabilities. Another area of research is the design of efficient protocols for distributed systems, including high-throughput atomic broadcast protocols and adaptive multi-source data transfer protocols. These advancements have the potential to significantly impact various applications, from distributed storage systems to scientific data transfers. Some noteworthy papers in this area include:

• Deterministic Self-Stabilizing BFS Construction in Constant Space, which introduces a self-stabilizing algorithm for constructing a BFS spanning tree with constant memory per node.
• New Wide Locally Recoverable Codes with Unified Locality, which presents a novel code construction that achieves optimal fault tolerance while overcoming limitations in existing locally recoverable codes.
• Kudzu: Fast and Simple High-Throughput BFT, which proposes a high-throughput atomic broadcast protocol with an integrated fast path, achieving state-of-the-art characteristics while maintaining simplicity.