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researcher

N. Gleadall

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
same name
  • N. Gleadall — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

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.CV2024

Deep Generative Classification of Blood Cell Morphology

Simon Deltadahl, Julian Gilbey, Christine Van Laer +16

Accurate classification of haematological cells is critical for diagnosing blood disorders, but presents significant challenges for machine automation owing to the complexity of ce…

cs.LG2024

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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