Work

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

Year: 2025

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250407

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

Institutions: Maastricht University Medical Centre, Maastro Clinic, Erasmus MC, The Netherlands Cancer Institute, Erasmus MC Cancer Institute

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410447703

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