Xiaoxiao Li

8

Papers

27

Total Citations

Papers (8)

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning

S4M: S4 for multivariate time series forecasting with Missing values

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler

Learning High-Order Relationships of Brain Regions

Federated Representation Angle Learning

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Federated Causally Invariant Feature Learning