3 papers
cs.LG2026
FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture
Zijian Wang, Pengfei Li, Guangyu Yang +1
Routing-prediction federated learning has emerged as a new paradigm that reframes inter-client heterogeneity as a resource for system-level intelligence: at inference time, the ser…
cs.LG2026
Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
Zijian Wang, Xiaofei Zhang, Xin Zhang +2
Federated learning (FL) is increasingly adopted in domains like healthcare, where data privacy is paramount. A fundamental challenge in these systems is statistical heterogeneity-t…
cs.CR2025
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
Zijian Wang, Wei Tong, Tingxuan Han +4
Federated learning (FL) combined with local differential privacy (LDP) enables privacy-preserving model training across decentralized data sources. However, the decentralized data-…