3 papers
cs.NI2025
Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
Zihan Chen, Guang Cheng, Jinhui Li +3
Encrypted traffic classification technology is a crucial decision-making information source for network management and security protection. It has the advantages of excellent respo…
cs.LG2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
Zihan Chen, Song Wang, Cong Shen +1
In-context learning (ICL) empowers large language models (LLMs) to tackle new tasks by using a series of training instances as prompts. Since generating the prompts needs to sample…
cs.LG2024
Adaptive Federated Learning Over the Air
Chenhao Wang, Zihan Chen, Nikolaos Pappas +3
We propose a federated version of adaptive gradient methods, particularly AdaGrad and Adam, within the framework of over-the-air model training. This approach capitalizes on the in…