3 papers
cs.LG2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Xiaoyu Gan, Jingbo Jiang, Jingyang Zhu +3
Substantial efforts have been devoted to alleviating the impact of the long-tailed class distribution in federated learning. In this work, we observe an interesting phenomenon that…
cs.CR2024
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
Xiaoyun Gan, Shanyu Gan, Taizhi Su +1
With heightened awareness of data privacy protection, Federated Learning (FL) has attracted widespread attention as a privacy-preserving distributed machine learning method. Howeve…
cs.DC2023
FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks
Youquan Xian, Xiaoyun Gan, Chuanjian Yao +4
Federated Learning (FL), as a privacy-preserving machine learning paradigm, trains a global model across devices without exposing local data. However, resource heterogeneity and in…