2. AI Applications in Decentralized Networks

In decentralized networks, traditional centralized control methods cannot meet the real-time communication needs of a large number of terminal devices. MLP combines decentralization with network optimization through AI technology, making each terminal device not only a network node but also a participant in AI algorithms. This approach allows terminal devices to autonomously collaborate in data transmission, computational tasks, and storage distribution without central control, thereby enhancing the adaptability and resilience of decentralized networks.

AI technology plays a significant role in MLP, as it can learn and predict network traffic patterns, automatically optimize network performance, reduce resource waste, and avoid node overload. In addition, AI can also help devices efficiently find suitable other nodes in complex network environments, achieving efficient decentralized communication.