Author

Wei Ke

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#machine learning Preprint Sep 2026

Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration

This paper proposes a robust decentralized personalized federated learning method R-DPFL, that enables clients to reduce the impact of Byzantine attacks via robust neighborhood direction estimation and history-based update trend prediction, rather than purely aggregating client models as in the existing work. In R-DPFL...

Xiao Ma, Hong Shen, Hui Tian et al. · 1 citation

#machine learning Preprint Sep 2026

Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

This paper shows that the proposed method ensures a bounded Byzantine influence on both distillation gradients and individual client private gradients after cross-modality fusion, thereby enabling stable local optimization for honest clients under Byzantine distillation.

Xiao Ma, Hong Shen, Hui Tian et al. · 0 citations

#machine learning Preprint Sep 2026

Fine-grained Distributed Backdoor Attacks in Federated Learning

A fine-grained distributed backdoor attack framework that uses dynamic trigger generation and embedding vector optimization to perform attacks with fewer poisoned samples and introduces an embedding vector contrastive learning strategy that forces poisoned samples to approach the target class center in the feature spac...

Jian Wang, Hong Shen, Wei Ke et al. · 0 citations