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Found 4 papers, 1 papers with code
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
With experiments on a real network intrusion detection dataset, in-context learning proves to be highly beneficial in improving the task processing performance in a way that no further training or fine-tuning of LLMs is required.
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
On the other hand, AI/ML facilitates frugal network resource management by making use of the enormous amount of data generated in IoS edge nodes and devices, as well as by optimizing the IoS performance via intelligent agents.
Segmented Learning for Class-of-Service Network Traffic Classification
The commonality of statistical features among the network flow segments motivates us to propose novel segmented learning that includes essential vector representation and a simple-segment method of classification.
Virtual Reality Gaming on the Cloud: A Reality Check
To the best of the authors' knowledge, this is the first measurement study and analysis conducted using a commercial cloud VR gaming platform, and under both fixed and adaptive bitrate streaming.
