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A systematic review of federated learning applications for biomedical data.
Crowson, Matthew G; Moukheiber, Dana; Arévalo, Aldo Robles; Lam, Barbara D; Mantena, Sreekar; Rana, Aakanksha; Goss, Deborah; Bates, David W; Celi, Leo Anthony.
Affiliation
  • Crowson MG; Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, United States of America.
  • Moukheiber D; Department of Otolaryngology-Head & Neck Surgery, Harvard Medical School, Massachusetts, United States of America.
  • Arévalo AR; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
  • Lam BD; IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
  • Mantena S; Data & Analytics, NTT DATA Portugal, Lisbon, Portugal.
  • Rana A; Department of Hematology & Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
  • Goss D; Harvard College, Boston, Massachusetts, United States of America.
  • Bates DW; Massachusetts Institute of Technology, Boston, Massachusetts, United States of America.
  • Celi LA; Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, United States of America.
PLOS Digit Health ; 1(5): e0000033, 2022 May.
Article in En | MEDLINE | ID: mdl-36812504
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Systematic_reviews Language: En Journal: PLOS Digit Health Year: 2022 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Systematic_reviews Language: En Journal: PLOS Digit Health Year: 2022 Type: Article Affiliation country: United States