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Jidong Yuan

2 accepted papers

2025

A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer

IJCAI 2025

Federated learning is vulnerable to backdoor attacks due to its distributed nature and the inability to access local datasets. Meanwhile, the heterogeneity of distributed data further complicates the detection of such attacks. However, existing defense strategies often overlook the presence of non-s

Cited by 0SourcePDFScholar
2025

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

AAAI 2025technical

Consistency regularization and pseudo-labeling have significantly advanced semi-supervised learning (SSL). Prior works have effectively employed Mixup for consistency regularization in SSL. However, our findings indicate that applying Mixup for consistency regularization may degrade SSL performance…