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Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy

IEEE Transactions on Mobile Computing (IEEE TMC), 2022

15 February 2022

Yuanxiong Guo

Papers citing "Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy"

32 / 32 papers shown

Title
Personalized 3D Spatiotemporal Trajectory Privacy Protection with Differential and Distortion Geo-Perturbation Minghui Min Yulu Li Gang Li Meng Li Hongliang Zhang Miao Pan Dusit Niyato Zhu Han 32 0 0 27 Nov 2025
DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm Junkang Liu Yuxuan Tian Fanhua Shang Yuanyuan Liu Hongying Liu Junchao Zhou Daorui Ding FedML 237 2 0 31 Oct 2025
FedIA: A Plug-and-Play Importance-Aware Gradient Pruning Aggregation Method for Domain-Robust Federated Graph Learning on Node Classification Zhanting Zhou Kahou Tam Zeqin Wu Pengzhao Sun Jinbo Wang Fengli Zhang 104 0 0 17 Sep 2025
Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning Duc-Thien Phan Minh-Duong Nguyen Quoc-Viet Pham Huilong Pi FedML 76 1 0 04 Sep 2025
Robust Federated Learning against Model Perturbation in Edge Networks Dongzi Jin Yong Xiao Yingyu Li FedML 112 0 0 30 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 232 1 0 19 May 2025
Traceable Black-box Watermarks for Federated Learning Jiahao Xu Rui Hu Olivera Kotevska Zikai Zhang FedML 289 0 0 19 May 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous ModelsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2025 Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 416 0 0 13 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 400 0 0 12 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment InspectionComputer Vision and Pattern Recognition (CVPR), 2025 Jiahao Xu Zikai Zhang Rui Hu AAML FedML 515 11 0 11 Mar 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative ModelsInternational Conference on Learning Representations (ICLR), 2025 Kyeongkook Seo Dong-Jun Han Jaejun Yoo 461 2 0 11 Mar 2025
Differentially Private Federated Learning With Time-Adaptive Privacy SpendingInternational Conference on Learning Representations (ICLR), 2025 Shahrzad Kiani Nupur Kulkarni Adam Dziedzic S. Draper Franziska Boenisch FedML 478 5 0 25 Feb 2025
Central limit theorems for vector-valued composite functionals with smoothing and applicationsAnnals of the Institute of Statistical Mathematics (AISM), 2024 Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 266 4 0 26 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 307 6 0 02 Dec 2024
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches Meifan Zhang Zhanhong Xie Lihua Yin FedML 190 1 0 08 Oct 2024
DP $^2$ -FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization Zhenxiao Zhang Yuanxiong Guo Yanmin Gong FedML 209 1 0 20 Sep 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential VulnerabilitiesACM Transactions on Cyber-Physical Systems (ACM TCPS), 2024 Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 415 16 0 16 Sep 2024
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication CompressionIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Zhenxiao Zhang Zhidong Gao Yuanxiong Guo Yanmin Gong 241 8 0 06 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model AggregationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Jiahao Xu Zikai Zhang Rui Hu 233 10 0 02 Sep 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 236 0 0 08 Aug 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 328 2 0 16 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 351 3 0 23 Apr 2024
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model SparsificationIEEE Internet of Things Journal (IEEE IoT J.), 2023 Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 208 2 0 30 Oct 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential PrivacyIEEE Conference on Communications and Network Security (CNS), 2023 Zikai Zhang Rui Hu 147 12 0 07 Sep 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge ComputingIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 230 8 0 02 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential PrivacyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 212 5 0 01 May 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic PrivacyIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 171 7 0 15 Apr 2023
Make Landscape Flatter in Differentially Private Federated LearningComputer Vision and Pattern Recognition (CVPR), 2023 Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 171 85 0 20 Mar 2023
Balancing Privacy Protection and Interpretability in Federated Learning Zhe Li Honglong Chen Zhichen Ni Huajie Shao FedML 145 10 0 16 Feb 2023
FLAD: Adaptive Federated Learning for DDoS Attack DetectionComputers & security (Comput. Secur.), 2022 Roberto Doriguzzi-Corin Domenico Siracusa FedML 338 92 0 13 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 130 13 0 26 Apr 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsificationProceedings of the VLDB Endowment (PVLDB), 2022 Fumiyuki Kato Yang Cao Masatoshi Yoshikawa FedML 156 7 0 15 Feb 2022