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2404.02510
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An Interpretable Client Decision Tree Aggregation process for Federated Learning
3 April 2024
Alberto Argente-Garrido
Cristina Zuheros
M. V. Luzón
Francisco Herrera
FedML
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Papers citing
"An Interpretable Client Decision Tree Aggregation process for Federated Learning"
5 / 5 papers shown
Title
Explainability and Continual Learning meet Federated Learning at the Network Edge
Thomas Tsouparopoulos
Iordanis Koutsopoulos
FedML
41
0
0
11 Apr 2025
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
48
1
0
15 Sep 2024
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
268
0
02 May 2023
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
132
26
0
04 Oct 2022
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
356
0
04 Oct 2021
1