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Large Language Model Adaptation for Networking
In this paper, we present NetLLM, the first LLM adaptation framework that efficiently adapts LLMs to solve networking problems.
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration
The high-accuracy and resource-intensive deep neural networks (DNNs) have been widely adopted by live video analytics (VA), where camera videos are streamed over the network to resource-rich edge/cloud servers for DNN inference.
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