Ubiquitous Intelligence
Ubiquitous intelligence aims to seamlessly integrate sensing, communication, and computation to create intelligent, interconnected systems across various domains. Current research focuses on optimizing this integration, particularly through techniques like federated and split learning, often leveraging large language models and deep reinforcement learning for efficient resource management and personalized model training in edge computing environments. This research is crucial for advancing 6G networks and enabling energy-efficient, privacy-preserving AI applications in diverse sectors, including robotics and industrial automation.
Papers
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