Interpretable collaborative data analysis on distributed data

Interpretable collaborative data analysis on distributed data

9 November 2020

Tetsuya Sakurai

Papers citing "Interpretable collaborative data analysis on distributed data"

10 / 10 papers shown

Title
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig A. Sunyaev A. Hilbert 28 1 0 07 Nov 2024
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration A. Imakura Tetsuya Sakurai FedML 19 1 0 27 Sep 2024
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 16 0 0 05 Feb 2024
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings Akihiro Mizoguchi A. Bogdanova A. Imakura T. Sakurai FedML 13 1 0 01 Aug 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 19 15 0 27 Feb 2023
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration A. Bogdanova A. Imakura T. Sakurai Tomoya Fujii Teppei Sakamoto Hiroyuki Abe FedML 14 2 0 06 Dec 2022
Non-readily identifiable data collaboration analysis for multiple datasets including personal information A. Imakura T. Sakurai Yukihiko Okada Tomoya Fujii Teppei Sakamoto Hiroyuki Abe FedML 17 10 0 31 Aug 2022
Another Use of SMOTE for Interpretable Data Collaboration Analysis A. Imakura Masateru Kihira Yukihiko Okada T. Sakurai 6 17 0 26 Aug 2022
Collaborative causal inference on distributed data Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 13 8 0 16 Aug 2022
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 22 7 0 14 Jul 2021