Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models

In this work we propose a novel pipeline for federated preprocessing, based on the deep latent variable model MIWAE for missing data imputation: we show that performing the imputation task taking advantage of the federated network is highly beneficial in term of generalizability and robustness.

Download paper here

Recommended citation: Balelli I., Sportisse A., Cremonesi F., Mattei P. A., Lorenzi M. (2023). Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. Preprint. [hal-04069795]