[HTML][HTML] Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller, SH Wang… - Nature …, 2022 - nature.com
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - ideas.repec.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection.

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - europepmc.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - profiles.wustl.edu
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, H Li, T Weiss… - Nature …, 2022 - zora.uzh.ch
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards… - Nature …, 2022 - mdanderson.elsevierpure.com
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

[HTML][HTML] Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - ncbi.nlm.nih.gov
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - kclpure.kcl.ac.uk
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - econpapers.repec.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards… - Nature …, 2022 - utsouthwestern.elsevierpure.com
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …