Title
Vertical Federated Learning with Missing Features During Training and Inference Pedro Valdeira Shiqiang Wang Yuejie Chi FedML 80 2 0 29 Oct 2024
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing Mingxuan Fan Yilun Jin Liu Yang Zhenghang Ren Kai Chen FedML 46 1 0 28 Jun 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables Yifeng Zheng Shuangqing Xu Songlei Wang Yan Gao Zhongyun Hua FedML 53 10 0 22 May 2023
Quadratic Functional Encryption for Secure Training in Vertical Federated Learning Shuangyi Chen Anuja Modi Shweta Agrawal Ashish Khisti FedML 40 4 0 15 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 71 29 0 26 Apr 2023
One-shot Empirical Privacy Estimation for Federated Learning Galen Andrew Peter Kairouz Sewoong Oh Alina Oprea H. B. McMahan Vinith Suriyakumar FedML 110 35 0 06 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 61 13 0 30 Jan 2023
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning Tanveer Khan Khoa Nguyen A. Michalas 27 18 0 20 Jan 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 85 10 0 01 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 75 29 0 27 Nov 2022
Differentially Private Vertical Federated Learning Thilina Ranbaduge Ming Ding FedML 45 13 0 13 Nov 2022
Differentially Private Vertical Federated Clustering Zitao Li Tianhao Wang Ninghui Li FedML 76 19 0 02 Aug 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond Yuzheng Hu Tianle Cai Jinyong Shan Shange Tang Chaochao Cai Ethan Song Yue Liu D. Song FedML AAML 49 10 0 19 Jul 2022
Residue-based Label Protection Mechanisms in Vertical Logistic Regression Juntao Tan Lan Zhang Yang Liu Anran Li Yeshu Wu FedML AAML 44 12 0 09 May 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Zhezhi He Deliang Fan C. Chakrabarti 40 60 0 09 May 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning Grzegorz Gawron P. Stubbings AAML 48 20 0 11 Jan 2022
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 89 19 0 10 Dec 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 52 39 0 22 Nov 2021
PIVODL: Privacy-preserving vertical federated learning over distributed labels Hangyu Zhu Rui Wang Yaochu Jin K. Liang FedML 89 30 0 25 Aug 2021
Defending against Reconstruction Attack in Vertical Federated Learning Jiankai Sun Yuanshun Yao Weihao Gao Junyuan Xie Chong-Jun Wang AAML FedML 60 28 0 21 Jul 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar J. Joshi Heiko Ludwig FedML 53 77 0 05 Mar 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating Qingsong Zhang Bin Gu Cheng Deng Heng-Chiao Huang FedML 43 69 0 01 Mar 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 172 140 0 17 Feb 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 98 159 0 14 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 100 151 0 11 Feb 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 85 150 0 04 Dec 2020
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 98 68 0 05 Nov 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 107 39 0 06 Sep 2020
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 88 86 0 20 Aug 2020
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Bin Gu Zhiyuan Dang Xiang Li Heng-Chiao Huang FedML 48 66 0 14 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 83 145 0 09 Aug 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 90 581 0 25 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 103 1,228 0 31 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 266 438 0 04 Mar 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 69 565 0 18 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 256 6,261 0 10 Dec 2019
SecureGBM: Secure Multi-Party Gradient Boosting Zhi Feng Haoyi Xiong Chuanyuan Song Sijia Yang Baoxin Zhao Licheng Wang Zeyu Chen Shengwen Yang Liping Liu Jun Huan FedML 42 52 0 27 Nov 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 38 132 0 22 Nov 2019
Secure and Efficient Federated Transfer Learning Shreya Sharma C. Xing Yang Liu Yan Kang FedML 28 80 0 29 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 106 1,001 0 23 Jul 2019
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 66 605 0 14 Oct 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 152 1,474 0 10 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 143 480 0 05 Oct 2014
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 135 184 0 17 Jul 2012