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Centralized and Federated Heart Disease Classification Models Using UCI
  Dataset and their Shapley-value Based Interpretability

Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability

12 August 2024
Mario Padilla Rodriguez
Mohamed Nafea
    FedML
ArXivPDFHTML

Papers citing "Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability"

2 / 2 papers shown
Title
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,707
0
18 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,684
0
28 Feb 2017
1