Broadcasting Support Relation

Broadcasting support relations focuses on efficiently disseminating information or tasks across networks, whether these are communication networks, robotic systems, or distributed computing environments. Current research explores diverse approaches, including reinforcement learning for optimizing broadcast strategies, hypergraph models for minimizing broadcast count, and graph neural networks for coordinating agents in crowded scenarios. These advancements aim to improve efficiency, robustness, and scalability in various applications, ranging from sustainable blockchain technology and efficient multi-agent pathfinding to optimized resource allocation in ride-hailing services and improved data management in large-scale archives.