NetLLM: Adapting Large Language Models for Networking

作者：Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang · 年份：2024 · DOI：10.1145/3651890.3672268 · 被引用次数：161 · 研究领域：Brain Tumor Detection and Classification、Topic Modeling、Advanced Graph Neural Networks

Many networking tasks now employ deep learning (DL) to solve complex prediction and optimization problems. However, current design philosophy of DL-based algorithms entails intensive engineering overhead due to the manual design of deep neural networks (DNNs) for different networking tasks. Besides, DNNs tend to achieve poor generalization performance on unseen data distributions/environments.