2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026technical
Vertical Federated Learning (VFL) enables multiple clients with feature-partitioned data to collaboratively train models while preserving privacy by transmitting embeddings instead of raw data. However, such embeddings can still expose sensitive attributes (e.g., gender or race) unrelated to the tar