Papers citing 'Wireless Federated Learning with Local Differential Privacy'

Title
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up Jiaqi Zhu Bikramjit Das Yong Xie Nikolaos Pappas Howard H. Yang FedML 96 1 0 25 Aug 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving Hyoungwook Jin Yoonsu Kim Dongyun Jung Seungju Kim Kiyoon Choi J. Son Juho Kim LRM 324 2 0 01 Apr 2025
Differentially Private Online Federated Learning with Correlated NoiseIEEE Conference on Decision and Control (CDC), 2024 Jiaojiao Zhang Linglingzhi Zhu Mikael Johansson FedML 308 1 0 10 Jan 2025
Over-the-Air Federated Adaptive Data Analysis: Preserving Accuracy via Opportunistic Differential Privacy A. H. Hadavi M. M. Mojahedian M. R. Aref 400 1 0 24 Nov 2024
Collaborative Inference over Wireless Channels with Feature Differential Privacy Mohamed Seif Yuqi Nie Andrea J. Goldsmith H. Poor 134 2 0 25 Oct 2024
Privacy-Preserving Federated Learning via Dataset Distillation ShiMao Xu Xiaopeng Ke Xing Su Shucheng Li Hao Wu Sheng Zhong Fengyuan Xu FedML 208 1 0 25 Oct 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 322 5 0 30 Jul 2024
Over-the-Air Collaborative Inference with Feature Differential Privacy Mohamed Seif Yuqi Nie Andrea J. Goldsmith Vincent Poor 192 0 0 01 Jun 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 352 21 0 16 May 2024
Age Aware Scheduling for Differentially-Private Federated LearningInternational Symposium on Information Theory (ISIT), 2024 Kuan-Yu Lin Hsuan-Yin Lin Yu-Pin Hsu Yu-Chih Huang FedML 251 3 0 09 May 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 2 0 27 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 280 2 0 17 Dec 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 177 3 0 10 Oct 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A SurveyJournal of Network and Computer Applications (JNCA), 2023 Mahdi Alkaeed Adnan Qayyum Junaid Qadir 277 33 0 19 Sep 2023
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks Tinghao Zhang Kwok-Yan Lam Jun Zhao 146 5 0 17 Sep 2023
Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared RandomnessInternational Symposium on Information Theory (ISIT), 2023 Seungsoo Nam Hyun-Young Park Si-Hyeon Lee 140 2 0 08 Jul 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future DirectionsFundamental Research (FR), 2023 Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 207 32 0 03 Jul 2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading ChannelsIEEE Transactions on Wireless Communications (IEEE TWC), 2023 Hang Liu Jiahe Yan Y. Zhang 185 9 0 19 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A SurveyInformation Fusion (Inf. Fusion), 2023 Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 346 75 0 14 Jun 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences Xizixiang Wei Tianhao Wang Ruiquan Huang Cong Shen Jing Yang H. Vincent Poor 250 1 0 14 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task LearningIEEE Internet of Things Journal (IEEE IoT J.), 2023 Xing Yi Rongpeng Li Chenghui Peng Haiwei Yang Jianjun Wu Zhifeng Zhao 215 4 0 01 Jun 2023
Over-the-Air Federated Averaging with Limited Power and Privacy BudgetsIEEE Transactions on Communications (IEEE Trans. Commun.), 2023 Na Yan Kezhi Wang Cunhua Pan K. K. Chai Feng Shu Jiangzhou Wang FedML 132 6 0 05 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
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 356 62 0 21 Feb 2023
Over-the-Air Federated Learning with Enhanced Privacy Xiaochan Xue Moh. Khalid Hasan Shucheng Yu Laxima Niure Kandel Min Song 140 3 0 22 Dec 2022
A Survey on Over-the-Air ComputationIEEE Communications Surveys and Tutorials (COMST), 2022 Alphan Șahin Rui Yang 475 133 0 20 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive PerturbationsAllerton Conference on Communication, Control, and Computing (Allerton), 2022 Jialing Liao Zheng Chen Erik G. Larsson 183 19 0 05 Oct 2022
Joint Privacy Enhancement and Quantization in Federated LearningIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Natalie Lang Elad Sofer Tomer Shaked Stefano Rini FedML 192 67 0 23 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2022 Mengyuan Lee Guanding Yu H. Dai 199 15 0 15 Aug 2022
Differentially Private Federated Learning via Reconfigurable Intelligent SurfaceIEEE Internet of Things Journal (IEEE IoT J.), 2022 Yuhan Yang Yong Zhou Youlong Wu Yuanming Shi 170 31 0 31 Mar 2022
Over-the-Air Federated Learning via Second-Order OptimizationIEEE Transactions on Wireless Communications (TWC), 2022 Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 288 34 0 29 Mar 2022
Private Non-Convex Federated Learning Without a Trusted ServerInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 294 32 0 13 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 239 75 0 11 Mar 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential PrivacyIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Rui Hu Yanmin Gong Yuanxiong Guo FedML 309 99 0 15 Feb 2022
Local Differential Privacy for Federated LearningEuropean Symposium on Research in Computer Security (ESORICS), 2022 Pathum Chamikara Mahawaga Arachchige Dongxi Liu S. Çamtepe Surya Nepal M. Grobler P. Bertók Ibrahim Khalil FedML 176 24 0 12 Feb 2022
Over-the-Air Ensemble Inference with Model PrivacyInternational Symposium on Information Theory (ISIT), 2022 Selim F. Yilmaz Burak Hasircioglu Deniz Gunduz FedML 189 25 0 07 Feb 2022
Decentralized Wireless Federated Learning with Differential Privacy Shuzhen Chen Dongxiao Yu Yifei Zou Jiguo Yu Xiuzhen Cheng 209 68 0 19 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 153 6 0 14 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge LearningIEEE wireless communications (WC), 2021 Hang Liu Zehong Lin Xiaojun Yuan Y. Zhang 257 5 0 06 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021 S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 222 82 0 30 Jul 2021
Accelerated Gradient Descent Learning over Multiple Access Fading ChannelsIEEE Journal on Selected Areas in Communications (JSAC), 2021 Raz Paul Yuval Friedman Kobi Cohen 233 34 0 26 Jul 2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy Yipeng Zhou Xuezheng Liu Yao Fu Di Wu Chao Li Shui Yu FedML 130 3 0 05 Jul 2021
Low-Latency Federated Learning over Wireless Channels with Differential PrivacyIEEE Journal on Selected Areas in Communications (JSAC), 2021 Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 171 92 0 20 Jun 2021
Understanding the Interplay between Privacy and Robustness in Federated Learning Yaowei Han Yang Cao Masatoshi Yoshikawa FedML 117 3 0 13 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 301 1,076 0 12 Jun 2021
Wireless Federated Learning with Limited Communication and Differential PrivacyGlobal Communications Conference (GLOBECOM), 2021 Amir Sonee Stefano Rini Yu-Chih Huang 121 10 0 01 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized IdentitiesInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2021 Fauzan Farooqui Neel Kanwal M. Jaatun Chunming Rong 139 21 0 18 May 2021
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021 Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 280 315 0 29 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021 Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 237 490 0 05 Apr 2021
Over-the-Air Statistical EstimationGlobal Communications Conference (GLOBECOM), 2020 Chuan-Zheng Lee L. P. Barnes Ayfer Özgür 198 12 0 06 Mar 2021