From Federated Learning to Publicly Facing Platform; Proof-of-Concept of the STRONG AYA Information Portal

Joshi Hogenboom; Aiara Lobo Gomes; Andre Dekker; Winette van der Graaf; Olga Husson; Leonard Wee

doi:10.3233/SHTI250407

From Federated Learning to Publicly Facing Platform; Proof-of-Concept of the STRONG AYA Information Portal

Joshi Hogenboom^*, Aiara Lobo Gomes, Andre Dekker, Winette van der Graaf, Olga Husson, Leonard Wee

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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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.

Original language	English
Pages (from-to)	591-592
Number of pages	2
Journal	Studies In Health Technology And Informatics
Volume	327
DOIs	https://doi.org/10.3233/SHTI250407
Publication status	Published - 15 May 2025

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© 2025 The Authors.

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From Federated Learning to PubliclyFinal published version, 118 KBLicence: CC BY-NC

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AU - Husson, Olga

AU - Wee, Leonard

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From Federated Learning to Publicly Facing Platform; Proof-of-Concept of the STRONG AYA Information Portal

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