Privacy-Aware Federated Learning for Breast Cancer Risk Assessment
Description preview
Federated learning (FL) has gained a lot of attention recently, as it enables analyses of data from numerous sites without the need to share data, i.e., each collaborator’s data are always retained within their site. FL is advantageous as it can: 1) overcome cultural/ownership, privacy, & regulatory concerns (since data never leave the local…
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