Federated Imputation under Heterogeneous Feature Spaces
arXiv:2605.16099v1 Announce Type: cross
Abstract: Federated Learning (FL) enables collaborative training across decentralized clients, but most methods assume aligned feature schemas, an assumption that rarely holds in tabular settings where clients o…