The field of edge computing and AI security is rapidly evolving, with a focus on developing innovative solutions to address the complexities of dynamic, multi-domain federations and securing real-time communication. Researchers are exploring the use of blockchain and Zero Trust-based decentralized identity management systems to enable secure and automated interactions between edge systems and autonomous vehicles. Additionally, there is a growing interest in developing adaptive and resource-efficient agentic AI systems that can operate effectively in resource-constrained environments. The integration of edge computing, AI, and security is expected to play a crucial role in enabling the widespread adoption of autonomous vehicles, smart cities, and other IoT applications. Noteworthy papers in this area include:

• A novel blockchain-driven federation framework for distributed edge systems, which enables dynamic and automated federation agreements.
• A Zero Trust-based decentralized identity management system for autonomous vehicles, which provides continuous verification and eliminates reliance on centralized authorities.