Cargando…
Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond
Machine learning (ML) in healthcare data analytics is attracting much attention because of the unprecedented power of ML to extract knowledge that improves the decision-making process. At the same time, laws and ethics codes drafted by countries to govern healthcare data are becoming stringent. Alth...
Autores principales: | Joshi, Praveen, Thapa, Chandra, Camtepe, Seyit, Hasanuzzaman, Mohammed, Scully, Ted, Afli, Haithem |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326525/ https://www.ncbi.nlm.nih.gov/pubmed/35893586 http://dx.doi.org/10.3390/mps5040060 |
Ejemplares similares
-
Evaluation of Federated Learning in Phishing Email Detection
por: Thapa, Chandra, et al.
Publicado: (2023) -
BiGAMi: Bi-Objective Genetic Algorithm Fitness Function for Feature Selection on Microbiome Datasets
por: Leske, Mike, et al.
Publicado: (2022) -
The Compression Optimality of Asymmetric Numeral Systems
por: Pieprzyk, Josef, et al.
Publicado: (2023) -
Confound-leakage: confound removal in machine learning leads to leakage
por: Hamdan, Sami, et al.
Publicado: (2023) -
Leakage and the reproducibility crisis in machine-learning-based science
por: Kapoor, Sayash, et al.
Publicado: (2023)