2 papers
cs.LG2026
Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models
Jie Zhang
Synthetic tabular data are valued for preserving inter-column dependency, yet a routine fidelity score says neither where it is lost nor why. Equipping a classifier two-sample test…
cs.MM2026
FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities
Haochen Liang, Jie Zhang, Hideya Ochiai
Multimodal Federated Learning is often challenged by arbitrary modality missingness and Non-IID data distributions, which lead to severe representation drift and hinder effective c…