LDP-Fed: Federated Learning with Local Differential Privacy

5 June 2020

Mehmet Emre Gursoy

Papers citing "LDP-Fed: Federated Learning with Local Differential Privacy"

50 / 139 papers shown

Title
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning Xiyu Zhao Qimei Cui Weicai Li Wei Ni Ekram Hossain Quan Z. Sheng Xiaofeng Tao Ping Zhang FedML 36 0 0 17 Jun 2025
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling Xiyu Zhao Qimei Cui Ziqiang Du Weicai Li Xi Yu Wei Ni Ji Zhang Xiaofeng Tao Ping Zhang 57 0 0 03 Jun 2025
Accelerated Training of Federated Learning via Second-Order Methods Mrinmay Sen Sidhant R Nair C Krishna Mohan FedML 33 0 0 29 May 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 17 0 0 27 May 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Ding Wang Guosun Zeng 58 1 0 26 May 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners Drashthi Doshi Aditya Vema Reddy Kesari Swaprava Nath Avishek Ghosh Suhas S Kowshik FedML Presented at ResearchTrend Connect \| FedML on 18 Jun 2025 107 0 0 17 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 106 0 0 09 May 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy Shun Zhang Hai Zhu Zhili Chen N. Xiong 68 0 0 29 Apr 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices Yunlong Mao Mingyang Niu Ziqin Dang Chengxi Li Hanning Xia Yuejuan Zhu Haoyu Bian Yuan Zhang Jingyu Hua Sheng Zhong FedML 88 0 0 19 Mar 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 110 1 0 17 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 97 2 0 10 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 107 0 0 05 Mar 2025
Differentially Private Federated Learning With Time-Adaptive Privacy Spending Shahrzad Kiani Nupur Kulkarni Adam Dziedzic S. Draper Franziska Boenisch FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 226 1 0 25 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 167 0 0 24 Feb 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy Linh Tran Timothy Castiglia Stacy Patterson Ana Milanova FedML 106 0 0 23 Jan 2025
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise V. Cadambe Ateet Devulapalli Haewon Jeong Flavio du Pin Calmon 107 1 0 20 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 104 14 0 09 Dec 2024
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park Shahab Asoodeh Si-Hyeon Lee 101 1 0 30 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 77 0 0 07 Oct 2024
Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy Shuangqing Xu Yifeng Zheng Zhongyun Hua FedML 53 2 0 04 Oct 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 66 0 0 25 Sep 2024
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness Hojat Allah Salehi Md Jueal Mia S. Sandeep Pradhan M. Hadi Amini Farhad Shirani FedML 107 0 0 20 Sep 2024
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning Jiaxang Tang Zeshan Fayyaz M. A. Salahuddin R. Boutaba Zhi-Li Zhang Ali Anwar FedML 62 0 0 11 Sep 2024
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training Huitong Jin Yipeng Zhou Laizhong Cui Quan Z. Sheng AI4CE 67 0 0 18 Aug 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 94 0 0 08 Aug 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 118 4 0 12 Jul 2024
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning Linh Tran Sanjay Chari Md. Saikat Islam Khan Aaron Zachariah Stacy Patterson Oshani Seneviratne FedML 73 3 0 09 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 93 4 0 09 Jul 2024
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion Xuan Liu Siqi Cai Qihua Zhou Song Guo Ruibin Li Kaiwei Lin DiffM AAML 68 1 0 07 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 60 2 0 16 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Xiwei Xu 125 1 0 07 Jun 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 95 2 0 26 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 71 0 0 24 May 2024
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models Huiwen Wu Xiaohan Li Deyi Zhang Xiaogang Xu Xiaogang Xu Puning Zhao Zhe Liu FedML 68 2 0 22 May 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data Shusen Jing Anlan Yu Shuai Zhang Songyang Zhang FedML 114 1 0 07 May 2024
Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy Sehyun Ryu Jonggyu Jang H. Yang 75 1 0 24 Apr 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 66 4 0 06 Apr 2024
Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors A. Hangan Dragos Lazea T. Cioara 30 0 0 14 Mar 2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Qi Tan Qi Li Yi Zhao Zhuotao Liu Xiaobing Guo Ke Xu FedML 73 2 0 02 Mar 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 104 4 0 10 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 121 19 0 02 Feb 2024
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model Yang Li Chunhe Xia Wanshuang Lin Tianbo Wang 57 4 0 02 Jan 2024
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 58 1 0 27 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 91 0 0 17 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 80 20 0 07 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 88 2 0 05 Dec 2023
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 80 16 0 30 Nov 2023
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 75 1 0 28 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 37 1 0 30 Oct 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 52 3 0 10 Oct 2023