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04/24/2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
The real-world implementation of federated learning is complex and requi...
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04/17/2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models
Federated learning allows for the training of machine learning models on...
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04/15/2022
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
We propose a novel federated learning paradigm to model data variability...
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02/23/2021
