Explanation-Guided Fair Federated Learning for Transparent 6G RAN
Slicing

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

18 July 2023

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Papers citing "Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing"

18 / 18 papers shown

Title
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case Swastika Roy Hatim Chergui C. Verikoukis 56 8 0 24 Jul 2023
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
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing Swastika Roy Hatim Chergui C. Verikoukis 51 3 0 18 Oct 2022
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network M. S. Munir Ki Tae Kim Apurba Adhikary Walid Saad Sachin Shetty Seong-Bae Park Choong Seon Hong 53 20 0 13 Oct 2022
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 94 83 0 29 Nov 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
AI-Native Network Slicing for 6G Networks Wen Wu Conghao Zhou Mushu Li Huaqing Wu Haibo Zhou Ning Zhang Xuemin X. Shen W. Zhuang 89 199 0 18 May 2021
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning Wen Wu Nan Chen Conghao Zhou Mushu Li Xuemin Shen W. Zhuang Xu Li 142 127 0 03 Dec 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 88 26 0 07 Oct 2020
Machine Guides, Human Supervises: Interactive Learning with Global Explanations Teodora Popordanoska Mohit Kumar Stefano Teso 102 21 0 21 Sep 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 64 89 0 17 Jul 2020
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints Andrew Cotter Maya R. Gupta Heinrich Jiang Nathan Srebro Karthik Sridharan S. Wang Blake E. Woodworth Seungil You FaML 58 105 0 29 Jun 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 70 118 0 17 Apr 2018
Tell Me Where to Look: Guided Attention Inference Network Kunpeng Li Ziyan Wu Kuan-Chuan Peng Jan Ernst Y. Fu 113 532 0 27 Feb 2018
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 126 591 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 191 6,015 0 04 Mar 2017
Data-driven generation of spatio-temporal routines in human mobility Luca Pappalardo F. Simini 38 122 0 16 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016

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