Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case

24 July 2023

Papers citing "Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case"

8 / 8 papers shown

Title
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 76 42 0 07 Dec 2022
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges Shen Wang M. Qureshi Luis Miralles-Pechuán Thien Huynh-The Thippa Reddy Gadekallu Madhusanka Liyanage 58 24 0 09 Dec 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 69 10 0 12 Jul 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 52 118 0 03 Apr 2021
Principles and Practice of Explainable Machine Learning Vaishak Belle I. Papantonis FaML 67 449 0 18 Sep 2020
Towards Ubiquitous AI in 6G with Federated Learning Yong Xiao Guangming Shi Marwan Krunz FedML 49 41 0 26 Apr 2020
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 61 92 0 11 May 2019
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,018 0 04 Mar 2017