41 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN9 papers
- Beijing Institute of TechnologyCN6 papers
- Shenzhen Technology UniversityCN6 papers
- University of Hong KongHK3 papers
- Chinese Academy of SciencesCN2 papers
- Guangdong University of TechnologyCN2 papers
- Nanjing University of Aeronautics and AstronauticsCN2 papers
- Peking UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Zhejiang University of TechnologyCN2 papers
- Academy of Mathematics and Systems ScienceCN1 paper
- Atlas Scientific (United States)US1 paper
4 papers · 1 filter
DeRelayL: Sustainable Decentralized Relay Learning
Haihan Duan, Tengfei Ma, Yuyang Qin +4
In the era of big data, large-scale machine learning models have revolutionized various fields, driving significant advancements. However, large-scale model training demands high f…
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…
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…
Residual Hyperbolic Graph Convolution Networks
Yangkai Xue, Jindou Dai, Zhipeng Lu +2
Hyperbolic graph convolutional networks (HGCNs) have demonstrated representational capabilities of modeling hierarchical-structured graphs. However, as in general GCNs, over-smooth…