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AI-Driven Aerial-Ground Network Challenges by daomanhlink is a document available to read on EtoBox.

What is AI-Driven Aerial-Ground Network Challenges about?

The document discusses the concept of Distributed Artificial Intelligence Enabled Aerial-Ground Networks (DAIAGN), which integrates AI techniques to enhance the performance of aerial-ground networks in dynamic environments. It outlines the architecture of DAIAGN, comprising components like deep reinforcement learning for distributed information sharing, edge intelligence for security management, and multi-agent reinforcement learning for decision making. The paper also highlights key challenges and future d

Author

daomanhlink

Language

EN