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From Federated Learning to Publicly Facing Platform; Proof-of-Concept of the STRONG AYA Information Portal
Joshi Hogenboom1, Aiara Lobo Gomes1, Andre Dekker1
1Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands.
Abstract:
Information on health data is often shrouded in exclusivity and sharing of such information is normally difficult and time-locked for numerous reasons. Federated learning (FL) regularly accelerates knowledge sharing, yet it is not fully exploited to alleviate overall data exclusivity and time constraints. Here, we present a proof-of-concept for a public FL-based info portal of the STRONG AYA Initiative.
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