Measure Contribution of Participants in Federated Learning

17 September 2019

Guan Wang

Charlie Xiaoqian Dang

Ziye Zhou

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Papers citing "Measure Contribution of Participants in Federated Learning"

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Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 35 0 0 05 May 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Leming Wu Yaochu Jin K. Hao Han Yu FedML 51 0 0 17 Apr 2025
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 74 2 0 16 Dec 2024
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 105 0 0 02 Dec 2024
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Z. Wen Wanglei Feng Di Wu Haozhen Hu Chang Xu Bin Qian Zhen Hong Cong Wang S. Ji FedML 85 0 0 18 Nov 2024
Photon: Federated LLM Pre-Training Lorenzo Sani Alex Iacob Zeyu Cao Royson Lee Bill Marino ... Dongqi Cai Zexi Li Wanru Zhao Xinchi Qiu Nicholas D. Lane AI4CE 36 7 0 05 Nov 2024
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation Victor Junqiu Wei Weicheng Wang Di Jiang Conghui Tan Rongzhong Lian MoMe 38 0 0 21 Oct 2024
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning Ketin Yin Zonghao Guo ZhengHan Qin FedML 26 0 0 19 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 35 0 0 04 Oct 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 66 7 0 17 Sep 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 54 1 0 26 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 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 60 2 0 31 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 80 3 0 25 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 43 6 0 22 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 42 1 0 04 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 47 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 80 8 0 23 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 55 1 0 19 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 48 0 0 11 Mar 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
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 79 15 0 30 Jan 2024
P3LS: Partial Least Squares under Privacy Preservation Du Nguyen Duy Ramin Nikzad‐Langerodi 46 0 0 26 Jan 2024
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 34 3 0 16 Dec 2023
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 23 4 0 14 Dec 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 42 9 0 26 Sep 2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning Mengda Ji Genjiu Xu Jianjun Ge Mingqiang Li FedML 24 0 0 21 Sep 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 50 49 0 14 Aug 2023
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning Boyang Li Bingyu Shen Qing Lu Taeho Jung Yiyu Shi 16 0 0 30 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Afsana Khan M. T. Thij F. Thuijsman A. Wilbik FedML 33 2 0 07 Jul 2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu Junyi Hou Bin He FedML 61 5 0 05 Jul 2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation Has Sun Xiaoli Tang Che-Sheng Yang Zhenpeng Yu Xiuli Wang Qijie Ding Zengxiang Li Han Yu FedML 35 1 0 01 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 45 39 0 14 Jun 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 46 12 0 14 May 2023
iDML: Incentivized Decentralized Machine Learning Haoxiang Yu Hsiao-Yuan Chen Sangsu Lee S. Vishwanath J. Zheng Christine Julien FedML 21 6 0 10 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective Liu Yang Di Chai Junxue Zhang Yilun Jin Leye Wang Hao Liu Han Tian Qian Xu Kai Chen FedML 43 28 0 04 Apr 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 10 2 0 03 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 44 7 0 27 Feb 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 27 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 32 3 0 17 Feb 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 79 0 03 Jan 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 55 10 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 64 162 0 23 Nov 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 115 14 0 27 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 50 14 0 07 Sep 2022
Incentivizing Federated Learning Shuyu Kong You Li Hai Zhou FedML 26 5 0 22 May 2022
Performance Weighting for Robust Federated Learning Against Corrupted Sources Dimitris Stripelis M. Abram J. Ambite FedML 28 7 0 02 May 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction Chuhan Wu Fangzhao Wu Tao Qi Yanlin Wang Yuqing Yang Yongfeng Huang Xing Xie FedML 21 1 0 10 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 27 25 0 07 Jan 2022