Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

arXiv:2609.28105 · cs.LG, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/AIHNlab/Fed-ReMasker

Terminology

• Benchmark — 11× in this paper · explained in 2 episodes
• Federated Learning — 11× in this paper · explained in 14 episodes
• Aggregation — 9× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Normalized Root Mean Squared Error — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Causal Discovery — 2× in this paper · explained in 2 episodes
• Centers for Disease Control and Prevention — 2× in this paper
• Computational Biology — 2× in this paper · explained in 2 episodes
• Differential Privacy — 2× in this paper · explained in 4 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Missing Value Ratio — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptivity — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Missing At Random — 1× in this paper

Sources

• Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models
• Federated Imputation under Heterogeneous Feature Spaces
• Personalised Federated Learning On Heterogeneous Feature Spaces
• Adaptive Federated Optimization
• Causal Discovery Toolbox: Uncover causal relationships in Python

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