v1v2 (latest)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

7 November 2024

Papers citing "Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review"

35 / 35 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 165 1 0 11 May 2025
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 94 10 0 11 Oct 2024
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation Fanfei Meng Lele Zhang Yu Chen Yuxin Wang FedML 91 4 0 30 Nov 2023
Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna Jiaqi Ma Dylan Slack Asma Ghandeharioun Sameer Singh Himabindu Lakkaraju ReLM LRM 95 59 0 19 May 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 121 15 0 27 Feb 2023
Balancing Privacy Protection and Interpretability in Federated Learning Zhe Li Honglong Chen Zhichen Ni Huajie Shao FedML 83 8 0 16 Feb 2023
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 99 2 0 04 Oct 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes Ali Sunyaev OOD FedML 78 7 0 01 May 2022
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning Filip Ślazyk Przemysław Jabłecki Aneta Lisowska Maciej Malawski Szymon Płotka FedML 75 9 0 11 Apr 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Y. Cheung Juyong Jiang F. Yu Jian Lou FedML 77 12 0 03 Mar 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 43 16 0 10 Jan 2022
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 71 40 0 22 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 110 446 0 11 Nov 2021
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 65 7 0 14 Jul 2021
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI Ali Raza K. Tran L. Koehl Shujun Li 81 135 0 26 May 2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning Xiaolin Chen Shuai Zhou Bei Guan Kai Yang Hao Fao Hu. Wang Yongji Wang FedML 166 16 0 20 May 2021
Interpretable collaborative data analysis on distributed data A. Imakura Hiroaki Inaba Yukihiko Okada Tetsuya Sakurai FedML 38 26 0 09 Nov 2020
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies A. Markus J. Kors P. Rijnbeek 99 472 0 31 Jul 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 160 827 0 28 Jul 2020
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 301 1,813 0 18 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 333 6,391 0 22 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,016 0 23 Jul 2019
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 71 92 0 11 May 2019
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 331 1,472 0 09 Nov 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 279 4,012 0 06 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 1.0K 133,599 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.4K 22,400 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 397 6,065 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 648 20,292 0 07 Oct 2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 162 793 0 05 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 539 17,797 0 17 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,241 0 16 Feb 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 427 4,685 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 343 7,344 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 656 15,935 0 12 Nov 2013