Preserving privacy in big data research: the role of federated learning in spine surgery.
Saved in:
| Title: | Preserving privacy in big data research: the role of federated learning in spine surgery. |
|---|---|
| Authors: | Shahzad H; Department of Orthopaedics, UC Davis Medical Center, Sacramento, CA, USA., Veliky C; Ohio State College of Medicine, The Ohio State University, Columbus, OH, USA., Le H; UC Davis Medical Center, Sacramento, CA, USA., Qureshi S; Hospital for Special Surgery, New York City, NY, USA., Phillips FM; Rush University Medical Center, Chicago, IL, USA., Javidan Y; UC Davis Medical Center, Sacramento, CA, USA., Khan SN; Department of Orthopaedics, UC Davis Medical Center, Sacramento, CA, USA. safkhan@ucdavis.edu. |
| Source: | European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2024 Nov; Vol. 33 (11), pp. 4076-4081. Date of Electronic Publication: 2024 Feb 25. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
