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No Free Lunch Theorem for Security and Utility in Federated Learning

ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022

11 March 2022

Hanlin Gu

Papers citing "No Free Lunch Theorem for Security and Utility in Federated Learning"

35 / 35 papers shown

Title
Feedback Lunch: Deep Feedback Codes for Wiretap ChannelsIACR Cryptology ePrint Archive (IACR ePrint), 2025 Yingyao Zhou Natasha Devroye Onur Günlü 68 0 0 18 Oct 2025
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning Xiaojin Zhang Mingcong Xu Yiming Li Wei Chen Qiang Yang 84 0 0 16 Aug 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Zengxia Guo Bohui An Zhongqi Lu FedML 216 0 0 15 May 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 176 0 0 08 Mar 2025
Ten Challenging Problems in Federated Foundation ModelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yu Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 549 30 0 14 Feb 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 268 0 0 31 Dec 2024
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory Xiaojin Zhang Wei Chen FedML 157 1 0 23 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Xiaojin Zhang Mingcong Xu Wei Chen FedML 196 0 0 05 Jul 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph LearningKnowledge Discovery and Data Mining (KDD), 2024 Zhuoning Guo Duanyi Yao Qiang Yang Hao Liu FedML 226 8 0 15 Jun 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Gang Hu Yinglei Teng Nan Wang Zhu Han FedML 147 4 0 14 Jun 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 284 21 0 25 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 192 11 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 247 9 0 03 May 2024
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Yuecheng Li Lele Fu Tong Wang Jian Lou Bin Chen Lei Yang Zibin Zheng Zibin Zheng Chuan Chen FedML 289 6 0 10 Feb 2024
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Weijing Chen Lixin Fan Qiang Yang FedML 204 1 0 27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 232 78 0 27 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 205 34 0 07 Dec 2023
Grounding Foundation Models through Federated Transfer Learning: A General FrameworkACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Weijing Chen Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 464 26 0 29 Nov 2023
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Yun Lu Malik Magdon-Ismail Yu Wei Vassilis Zikas 367 0 0 03 Sep 2023
A Survey for Federated Learning Evaluations: Goals and MeasuresIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 193 33 0 23 Aug 2023
Practical Privacy-Preserving Gaussian Process Regression via Secret SharingConference on Uncertainty in Artificial Intelligence (UAI), 2023 Jinglong Luo Yehong Zhang Jiaqi Zhang Shuang Qin Haibo Wang Yue Yu Zenglin Xu 161 8 0 26 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 281 9 0 28 May 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility Xiaojin Zhang Wenjie Li Kai Chen Shutao Xia Qian Yang FedML 187 10 0 24 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 172 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 342 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 Game-theoretic Framework for Privacy-preserving Federated LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 235 5 0 11 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 352 5 0 10 Apr 2023
Federated Learning for Metaverse: A SurveyThe Web Conference (WWW), 2023 Yao Chen Shan Huang Wensheng Gan Gengsen Huang Yongdong Wu FedML 115 23 0 23 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 234 92 0 27 Feb 2023
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 235 77 0 10 Oct 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 373 66 0 01 Sep 2022
Accelerating Vertical Federated LearningIEEE Transactions on Big Data (TBD), 2022 Dongqi Cai Tao Fan Weijing Chen Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 132 11 0 23 Jul 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 254 37 0 09 Jul 2022
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 190 15 0 19 Nov 2020