Data-Free Evaluation of User Contributions in Federated Learning

24 August 2021

Papers citing "Data-Free Evaluation of User Contributions in Federated Learning"

20 / 20 papers shown

Title
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism Jiasi Weng Jian Weng Hongwei Huang Chengjun Cai Cong Wang FedML 33 28 0 19 Dec 2020
An Exploratory Analysis on Users' Contributions in Federated Learning Jiyue Huang Rania Talbi Zilong Zhao S. Bouchenak L. Chen Stefanie Roos FedML 62 31 0 13 Nov 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 49 21 0 21 Jul 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 63 115 0 26 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 45 180 0 22 Feb 2020
Free-riders in Federated Learning: Attacks and Defenses Jierui Lin Min Du Jian-Dong Liu FedML 47 112 0 28 Nov 2019
Deep Learning with Gaussian Differential Privacy Zhiqi Bu Jinshuo Dong Qi Long Weijie J. Su FedML 46 205 0 26 Nov 2019
Measure Contribution of Participants in Federated Learning Guan Wang Charlie Xiaoqian Dang Ziye Zhou FedML 67 198 0 17 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 54 182 0 11 Sep 2019
Towards Efficient Data Valuation Based on the Shapley Value R. Jia David Dao Wei Ping F. Hubis Nicholas Hynes Nezihe Merve Gürel Yue Liu Ce Zhang D. Song C. Spanos TDI 54 407 0 27 Feb 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 81 624 0 07 Dec 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 110 1,525 0 08 Nov 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 139 2,547 0 02 Jun 2018
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 114 490 0 27 May 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 82 1,483 0 05 Mar 2018
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 61 1,814 0 21 Jun 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 44 241 0 16 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 271 4,620 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 175 6,069 0 01 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 251 17,328 0 17 Feb 2016