v1v2 (latest)

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability

IEEE Transactions on Big Data (TBD), 2021

22 November 2021

Yang Liu

Papers citing "Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability"

31 / 31 papers shown

Title
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice Kevin Kuo Chhavi Yadav Virginia Smith FedML 148 0 0 14 Oct 2025
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Kihun Hong Sejun Park Ganguk Hwang FedML 203 0 0 16 May 2025
Clustering-Based Evolutionary Federated Multiobjective Optimization and LearningInternational Conference on Intelligent Computing (ICIC), 2025 Chengui Xiao Songbai Liu FedML 190 0 0 29 Apr 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration Chung-ju Huang Yuanpeng He Xiao Han Wenpin Jiao Zhi Jin Leye Wang FedML 234 6 0 20 Jan 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 455 7 0 07 Nov 2024
Vertical Federated Learning with Missing Features During Training and InferenceInternational Conference on Learning Representations (ICLR), 2024 Pedro Valdeira Shiqiang Wang Yuejie Chi FedML 242 6 0 29 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 217 1 0 28 Sep 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction Wentao Ouyang Rui Dong Ri Tao Xiangzheng Liu FedML 130 4 0 26 Jul 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 266 9 0 06 Feb 2024
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images Gauransh Sawhney Daksh Dave Adeel Ahmed Jiechao Gao Khalid Saleem 255 0 0 21 Nov 2023
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models Tao Fan Weijing Chen Guoqiang Ma Yan Kang Wenbin Wei Lixin Fan Qiang Yang 216 83 0 16 Oct 2023
Federated Domain Generalization: A SurveyProceedings of the IEEE (Proc. IEEE), 2023 Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 299 40 0 02 Jun 2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Xiaojin Zhang Weijing Chen Lixin Fan Kai Chen Qiang Yang FedML 277 9 0 28 May 2023
Secure Vertical Federated Learning Under Unreliable Connectivity Xinchi Qiu Heng Pan Wanru Zhao Yan Gao Pedro Gusmão William F. Shen Chenyang Ma Nicholas D. Lane FedML 166 3 0 26 May 2023
Efficient Vertical Federated Learning with Secure Aggregation Xinchi Qiu Heng Pan Wanru Zhao Chenyang Ma Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 169 5 0 18 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Xiaojin Zhang Kai Chen Qian Yang FedML 168 6 0 07 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Weijing Chen Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 334 19 0 29 Apr 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge CollaborationComputers & security (Comput. Secur.), 2023 Peng Chen Xin Du Zhihui Lu Hongfeng Chai FedML AAML 147 18 0 22 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 197 40 0 04 Apr 2023
Federated Learning without Full Labels: A SurveyIEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023 Yilun Jin Yang Liu Kai Chen Qian Yang FedML 179 32 0 25 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023 Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 328 62 0 21 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive ObfuscationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Hanlin Gu Jiahuan Luo Weijing Chen Lixin Fan Qiang Yang FedML 178 15 0 30 Jan 2023
Source-Free Unsupervised Domain Adaptation: A SurveyNeural Networks (NN), 2022 Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 451 139 0 31 Dec 2022
Vertical Federated Learning: Concepts, Advances and ChallengesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Yang Liu Weijing Chen Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 390 270 0 23 Nov 2022
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning Weijing Chen Jiahuan Luo Yuanqin He Xiaojin Zhang Lixin Fan Qiang Yang FedML 168 15 0 08 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Xiaojin Zhang Weijing Chen Kai Chen Lixin Fan Qiang Yang FedML 341 66 0 01 Sep 2022
A Hybrid Self-Supervised Learning Framework for Vertical Federated LearningIEEE Transactions on Big Data (TBD), 2022 Yuanqin He Weijing Chen Xinyuan Zhao Jiahuan Luo Lixin Fan Yuxing Han Qiang Yang FedML 198 32 0 18 Aug 2022
A Framework for Verifiable and Auditable Federated Anomaly DetectionIEEE Access (IEEE Access), 2022 G. Santin Inna Skarbovsky Fabiana Fournier Bruno Lepri FedML 111 2 0 15 Mar 2022
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision TreePacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021 Tao Fan Yan Kang Guoqiang Ma Weijing Chen Lixin Fan Qiang Yang FedML 182 6 0 21 Oct 2021
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Weijing Chen Yang Liu Xinle Liang FedML 233 65 0 25 Aug 2020
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 724 5,009 0 17 Feb 2017