GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning

5 September 2021

Yang Liu

Papers citing "GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning"

49 / 49 papers shown

Title
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach Shuyue Wei Yongxin Tong Zimu Zhou Tianran He Yi Xu FedML 28 0 0 23 Apr 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence Ziruo Hao Zhenhua Cui Tao Yang Bo Hu X. Wu Hui Feng 43 1 0 06 Mar 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 95 0 0 02 Dec 2024
A Potential Game Perspective in Federated Learning Kang Liu Ziqi Wang Enrique Zuazua FedML 65 0 0 18 Nov 2024
ROSS:RObust decentralized Stochastic learning based on Shapley values Lina Wang Yunsheng Yuan Feng Li Lingjie Duan FedML 43 0 0 01 Nov 2024
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning Ketin Yin Zonghao Guo ZhengHan Qin FedML 19 0 0 19 Oct 2024
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives Kongyang Chen Zeming Xu FedML 19 0 0 10 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 37 1 0 09 Oct 2024
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning Joon Kim Sejin Park AAML FedML 30 1 0 15 Aug 2024
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations Qi Guo Minghao Yao Zhen Tian Saiyu Qi Yong Qi Yun Lin Jin Song Dong 25 0 0 02 Jul 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 57 0 0 16 Jun 2024
Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan Samar Fares Toluwani Aremu Samuel Horváth Karthik Nandakumar FedML 38 4 0 01 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 52 1 0 31 May 2024
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning Mengwei Yang Ismat Jarin Baturalp Buyukates A. Avestimehr A. Markopoulou FedML 23 0 0 21 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 39 5 0 03 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 75 7 0 23 Apr 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 28 7 0 20 Apr 2024
Don't Forget What I did?: Assessing Client Contributions in Federated Learning Bishwamittra Ghosh Debabrota Basu Huazhu Fu Wang Yuan Renuga Kanagavelu Jiang Jin Peng Liu Yong Goh Siow Mong Rick Qingsong Wei FedML 38 0 0 11 Mar 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning Yue Cui Liuyi Yao Zitao Li Yaliang Li Bolin Ding Xiaofang Zhou FedML 46 1 0 23 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 22 13 0 10 Feb 2024
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning Meiying Zhang Huan Zhao Sheldon C Ebron Kan Yang FedML 16 2 0 06 Feb 2024
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 15 4 0 14 Dec 2023
Data Valuation and Detections in Federated Learning Wenqian Li Shuran Fu Fengrui Zhang Yan Pang FedML TDI 30 4 0 09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 33 2 0 08 Nov 2023
Fairness-Aware Client Selection for Federated Learning Yuxin Shi Zelei Liu Zhuan Shi Han Yu FedML 16 19 0 20 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Afsana Khan M. T. Thij F. Thuijsman A. Wilbik FedML 28 2 0 07 Jul 2023
Improving Federated Aggregation with Deep Unfolding Networks S. Nanayakkara Shiva Raj Pokhrel Gang Li FedML 31 0 0 30 Jun 2023
Exploring Data Redundancy in Real-world Image Classification through Data Selection Zhenyu Tang Shaoting Zhang Xiaosong Wang 22 2 0 25 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 30 9 0 19 May 2023
Scalable Data Point Valuation in Decentralized Learning Konstantin D. Pandl Chun-Yin Huang Ivan Beschastnikh Xiaoxiao Li Scott Thiebes A. Sunyaev FedML TDI 21 0 0 01 May 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 28 47 0 29 Mar 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header Liping Yi Gang Wang Xiaoguang Liu Zhuan Shi Han Yu FedML 29 71 0 23 Mar 2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain Baturalp Buyukates Chaoyang He Shanshan Han Zhiyong Fang Yupeng Zhang Jieyi Long A. Farahanchi Salman Avestimehr OOD 31 7 0 27 Feb 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 21 15 0 27 Feb 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 27 3 0 17 Feb 2023
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 57 161 0 23 Nov 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Y. Zou TDI FAtt 21 33 0 27 Sep 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling Sourav Kumar A. Lakshminarayanan Ken Chang Feri Guretno Ivan Ho Mien Jayashree Kalpathy-Cramer Pavitra Krishnaswamy Praveer Singh FedML 34 7 0 12 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) Shuyuan Zheng Yang Cao Masatoshi Yoshikawa FedML 66 24 0 11 Sep 2022
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Yixiang Wang 16 7 0 15 Jul 2022
Differentially Private Shapley Values for Data Evaluation Lauren Watson R. Andreeva Hao-Yu Yang Rik Sarkar TDI FAtt FedML 18 6 0 01 Jun 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes A. Sunyaev OOD FedML 20 7 0 01 May 2022
Towards Verifiable Federated Learning Yanci Zhang Hanyou Yu FedML 14 21 0 15 Feb 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 16 204 0 11 Feb 2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement Jingwen Zhang Yuezhou Wu Rong Pan FedML 16 19 0 07 Jan 2022
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 21 22 0 13 Jul 2020