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BloodCounts Consortium

3 papers hereh-index 13 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.LG2026

Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction

Fan Zhang, Simon Deltadahl, Majid Lotfian Delouee +10

Recent reviews find that the vast majority of published healthcare federated learning (FL) studies never reach real-world deployment. We developed an embedding-based FL pipeline fo…

cs.CR2026

Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research

Fan Zhang, Daniel Kreuter, Javier Fernandez-Marques +10

Collaborative healthcare research across multiple institutions increasingly requires diverse clinical datasets, but cross-border data sharing is strictly constrained by privacy reg…

cs.LG2025

FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems

Fan Zhang, Daniel Kreuter, Carlos Esteve-Yagüe +11

Federated learning (FL) promises to enable collaborative machine learning across healthcare sites whilst preserving data privacy. Practical deployment remains limited by statistica…

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