output
20192026
most citedVul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

41 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025 · cs.LGShow all

2 papers · 2 filters

cs.LG2025★ 2 cited

FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data

Jingrui Zhang, Yimeng Xu, Shujie Li +5

Federated Learning (FL) enables collaborative model training across decentralized clients without sharing private data. However, FL suffers from biased global models due to non-IID…

cs.LG2025★ 37 cited

MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network

Kai Fang, Jiangtao Deng, Chengzu Dong +4

Frequent fluctuations of client nodes in highly dynamic mobile clusters can lead to significant changes in feature space distribution and data drift, posing substantial challenges…