3 papers
cs.LG2026
Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
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 dir…
cs.LG2026
Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
This paper propose a robust decentralized federated distillation method that enables clients with heterogeneous models to collaborate through predictions on shared unlabeled public…
cs.LG2026
Fine-grained Distributed Backdoor Attacks in Federated Learning
Jian Wang, Hong Shen, Wei Ke +1
Federated learning, as a privacy-preserving distributed machine learning paradigm, faces significant threats from backdoor attacks. Compared to centralized attacks, distributed bac…