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I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
We introduce I-GWAS, a novel framework that securely computes and releases the results of multiple possibly interdependent GWASes.
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federated learning allows clients to collaboratively train models on datasets that are acquired in different locations and that cannot be exchanged because of their size or regulations.
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