FedHF-Impute enables federated imputation across heterogeneous feature spaces by using a shared global feature graph and message passing for indirect cross-client knowledge transfer, reporting RMSE gains on SECOM and AirQuality datasets.
Rethinking the diffusion models for missing data impu- tation: A gradient flow perspective,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Federated Imputation under Heterogeneous Feature Spaces
FedHF-Impute enables federated imputation across heterogeneous feature spaces by using a shared global feature graph and message passing for indirect cross-client knowledge transfer, reporting RMSE gains on SECOM and AirQuality datasets.