A Principled Approach to Data Valuation for Federated Learning

14 September 2020

Papers citing "A Principled Approach to Data Valuation for Federated Learning"

36 / 36 papers shown

Title
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 55 0 0 14 Feb 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 69 0 0 21 Jan 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
Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan Samar Fares Toluwani Aremu Samuel Horváth Karthik Nandakumar FedML 41 5 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 55 1 0 31 May 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
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 36 4 0 30 Sep 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 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
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 36 12 0 14 May 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Zou TDI FedML 39 35 0 16 Apr 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou Xinyi Xu Rachael Hwee Ling Sim Chuan-Sheng Foo K. H. Low TDI 20 9 0 01 Dec 2022
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
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification S. Schoch Haifeng Xu Yangfeng Ji TDI 23 24 0 13 Nov 2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery M. Oldenhof G. Ács Balázs Pejó A. Schuffenhauer Nicholas Holway ... Yves Moreau O. Engkvist Hugo Ceulemans Camille Marini M. Galtier FedML 38 38 0 17 Oct 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 39 7 0 12 Sep 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 33 45 0 10 Jul 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 52 94 0 30 May 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 33 47 0 07 May 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
Fair and efficient contribution valuation for vertical federated learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Yong Zhang TDI FedML 21 25 0 07 Jan 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 32 19 0 07 Jan 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 24 32 0 17 Dec 2021
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data L. Nguyen Shashi Raj Pandey B. Soret A. Broering P. Popovski 42 20 0 06 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 33 2 0 24 Nov 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 35 119 0 20 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning Zelei Liu Yuanyuan Chen Han Yu Yang Liu Li-zhen Cui FedML TDI 27 124 0 05 Sep 2021
Data Pricing in Machine Learning Pipelines Zicun Cong Xuan Luo J. Pei Feida Zhu Yong Zhang 28 46 0 18 Aug 2021
Data Appraisal Without Data Sharing Mimee Xu L. V. D. van der Maaten Awni Y. Hannun TDI 39 6 0 11 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 33 5 0 08 Dec 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 31 69 0 20 Nov 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 21 22 0 13 Jul 2020