Wireless Federated Learning with Local Differential Privacy

12 February 2020

Papers citing "Wireless Federated Learning with Local Differential Privacy"

50 / 65 papers shown

Title
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 62 2 0 01 Apr 2025
Differentially Private Online Federated Learning with Correlated Noise Jiaojiao Zhang Linglingzhi Zhu Mikael Johansson FedML 49 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 73 1 0 24 Nov 2024
Collaborative Inference over Wireless Channels with Feature Differential Privacy Mohamed Seif Yuqi Nie Andrea J. Goldsmith H. Poor 18 1 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 23 0 0 25 Oct 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 50 1 0 30 Jul 2024
Over-the-Air Collaborative Inference with Feature Differential Privacy Mohamed Seif Yuqi Nie Andrea J. Goldsmith Vincent Poor 24 0 0 01 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
Age Aware Scheduling for Differentially-Private Federated Learning Kuan-Yu Lin Hsuan-Yin Lin Yu-Pin Hsu Yu-Chih Huang FedML 25 1 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 Yan Kang Lixin Fan Qiang Yang FedML 16 1 0 27 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 37 0 0 17 Dec 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 29 2 0 10 Oct 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 24 16 0 19 Sep 2023
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks Tinghao Zhang Kwok-Yan Lam Jun Zhao 22 2 0 17 Sep 2023
Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared Randomness Seungsoo Nam Hyun-Young Park Si-Hyeon Lee 9 2 0 08 Jul 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 27 20 0 03 Jul 2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels Hang Liu Jiahe Yan Y. Zhang 21 3 0 19 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 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 43 1 0 14 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei-Yue Wang Jianjun Wu Zhifeng Zhao 19 1 0 01 Jun 2023
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets Na Yan Kezhi Wang Cunhua Pan K. K. Chai Feng Shu Jiangzhou Wang FedML 25 2 0 05 May 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 28 4 0 15 Apr 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Over-the-Air Federated Learning with Enhanced Privacy Xiaochan Xue Moh. Khalid Hasan Shucheng Yu Laxima Niure Kandel Min Song 19 2 0 22 Dec 2022
A Survey on Over-the-Air Computation Alphan Șahin Rui Yang 31 75 0 20 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations Jialing Liao Zheng Chen Erik G. Larsson 15 12 0 05 Oct 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 29 46 0 23 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks Mengyuan Lee Guanding Yu H. Dai 26 11 0 15 Aug 2022
Differentially Private Federated Learning via Reconfigurable Intelligent Surface Yuhan Yang Yong Zhou Youlong Wu Yuanming Shi 20 25 0 31 Mar 2022
Over-the-Air Federated Learning via Second-Order Optimization Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 40 28 0 29 Mar 2022
Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 28 24 0 13 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 16 64 0 11 Mar 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy Rui Hu Yanmin Gong Yuanxiong Guo FedML 19 62 0 15 Feb 2022
Local Differential Privacy for Federated Learning Pathum Chamikara Mahawaga Arachchige Dongxi Liu S. Çamtepe Surya Nepal M. Grobler P. Bertók Ibrahim Khalil FedML 11 22 0 12 Feb 2022
Over-the-Air Ensemble Inference with Model Privacy Selim F. Yilmaz Burak Hasircioglu Deniz Gunduz FedML 16 23 0 07 Feb 2022
Decentralized Wireless Federated Learning with Differential Privacy Shuzhen Chen Dongxiao Yu Yifei Zou Jiguo Yu Xiuzhen Cheng 35 50 0 19 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 29 5 0 14 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning Hang Liu Zehong Lin Xiaojun Yuan Y. Zhang 13 5 0 06 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 20 64 0 30 Jul 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 22 30 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 28 2 0 05 Jul 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 21 73 0 20 Jun 2021
Understanding the Interplay between Privacy and Robustness in Federated Learning Yaowei Han Yang Cao Masatoshi Yoshikawa FedML 25 3 0 13 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 26 766 0 12 Jun 2021
Wireless Federated Learning with Limited Communication and Differential Privacy Amir Sonee Stefano Rini Yu-Chih Huang 16 10 0 01 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Jiahui Geng Neel Kanwal M. Jaatun Chunming Rong 19 19 0 18 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 23 401 0 05 Apr 2021
Over-the-Air Statistical Estimation Chuan-Zheng Lee L. P. Barnes Ayfer Özgür 16 12 0 06 Mar 2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation Mohamed Seif Wei-Ting Chang Ravi Tandon FedML 16 45 0 02 Mar 2021