Pedro Valdeira

Vertical Federated Learning with Missing Features During Training and Inference

Vertical federated learning trains models from feature-partitioned datasets across multiple clients, who collaborate without sharing their local data. Standard approaches assume that all feature partitions are available during both training and inference. Yet, in practice, this assumption rarely hol…