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2002.05151
Cited By
Wireless Federated Learning with Local Differential Privacy
International Symposium on Information Theory (ISIT), 2020
12 February 2020
Mohamed Seif
Ravi Tandon
Ming Li
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Papers citing
"Wireless Federated Learning with Local Differential Privacy"
50 / 65 papers shown
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up
Jiaqi Zhu
Bikramjit Das
Yong Xie
Nikolaos Pappas
Howard H. Yang
FedML
123
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
345
11
0
01 Apr 2025
Differentially Private Online Federated Learning with Correlated Noise
IEEE Conference on Decision and Control (CDC), 2024
Jiaojiao Zhang
Linglingzhi Zhu
Mikael Johansson
FedML
328
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
409
1
0
24 Nov 2024
Collaborative Inference over Wireless Channels with Feature Differential Privacy
Mohamed Seif
Yuqi Nie
Andrea J. Goldsmith
H. Poor
139
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
244
0
0
25 Oct 2024
Private Collaborative Edge Inference via Over-the-Air Computation
Selim F. Yilmaz
Burak Hasircioglu
Li Qiao
Deniz Gunduz
FedML
340
6
0
30 Jul 2024
Over-the-Air Collaborative Inference with Feature Differential Privacy
Mohamed Seif
Yuqi Nie
Andrea J. Goldsmith
Vincent Poor
205
0
0
01 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
384
2
0
16 May 2024
Age Aware Scheduling for Differentially-Private Federated Learning
International Symposium on Information Theory (ISIT), 2024
Kuan-Yu Lin
Hsuan-Yin Lin
Yu-Pin Hsu
Yu-Chih Huang
FedML
262
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
223
2
0
27 Dec 2023
Federated learning with differential privacy and an untrusted aggregator
Kunlong Liu
Trinabh Gupta
293
2
0
17 Dec 2023
Federated Learning with Reduced Information Leakage and Computation
Tongxin Yin
Xueru Zhang
Mohammad Mahdi Khalili
Mingyan Liu
FedML
202
3
0
10 Oct 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
Journal of Network and Computer Applications (JNCA), 2023
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
300
33
0
19 Sep 2023
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang
Kwok-Yan Lam
Jun Zhao
158
5
0
17 Sep 2023
Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared Randomness
International Symposium on Information Theory (ISIT), 2023
Seungsoo Nam
Hyun-Young Park
Si-Hyeon Lee
149
2
0
08 Jul 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions
Fundamental Research (FR), 2023
Bingnan Xiao
Xichen Yu
Wei Ni
Xin Wang
H. Vincent Poor
214
32
0
03 Jul 2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Hang Liu
Jiahe Yan
Y. Zhang
192
10
0
19 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey
Information Fusion (Inf. Fusion), 2023
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
357
77
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
258
1
0
14 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Xing Yi
Rongpeng Li
Chenghui Peng
Haiwei Yang
Jianjun Wu
Zhifeng Zhao
227
4
0
01 Jun 2023
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets
IEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Na Yan
Kezhi Wang
Cunhua Pan
K. K. Chai
Feng Shu
Jiangzhou Wang
FedML
152
6
0
05 May 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Zhenxiao Zhang
Yuanxiong Guo
Yuguang Fang
Yanmin Gong
173
7
0
15 Apr 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
The Web Conference (WWW), 2023
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
378
63
0
21 Feb 2023
Over-the-Air Federated Learning with Enhanced Privacy
Xiaochan Xue
Moh. Khalid Hasan
Shucheng Yu
Laxima Niure Kandel
Min Song
142
3
0
22 Dec 2022
A Survey on Over-the-Air Computation
IEEE Communications Surveys and Tutorials (COMST), 2022
Alphan Șahin
Rui Yang
504
137
0
20 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Allerton Conference on Communication, Control, and Computing (Allerton), 2022
Jialing Liao
Zheng Chen
Erik G. Larsson
191
19
0
05 Oct 2022
Joint Privacy Enhancement and Quantization in Federated Learning
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Natalie Lang
Elad Sofer
Tomer Shaked
Stefano Rini
FedML
204
71
0
23 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
IEEE Transactions on Wireless Communications (TWC), 2022
Mengyuan Lee
Guanding Yu
H. Dai
207
15
0
15 Aug 2022
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Yuhan Yang
Yong Zhou
Youlong Wu
Yuanming Shi
184
32
0
31 Mar 2022
Over-the-Air Federated Learning via Second-Order Optimization
IEEE Transactions on Wireless Communications (TWC), 2022
Peng Yang
Yuning Jiang
Ting Wang
Yong Zhou
Yuanming Shi
Colin N. Jones
292
34
0
29 Mar 2022
Private Non-Convex Federated Learning Without a Trusted Server
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Andrew Lowy
Ali Ghafelebashi
Meisam Razaviyayn
FedML
327
32
0
13 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
FedML
295
77
0
11 Mar 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Rui Hu
Yanmin Gong
Yuanxiong Guo
FedML
326
100
0
15 Feb 2022
Local Differential Privacy for Federated Learning
European 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
188
23
0
12 Feb 2022
Over-the-Air Ensemble Inference with Model Privacy
International Symposium on Information Theory (ISIT), 2022
Selim F. Yilmaz
Burak Hasircioglu
Deniz Gunduz
FedML
191
26
0
07 Feb 2022
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen
Dongxiao Yu
Yifei Zou
Jiguo Yu
Xiuzhen Cheng
213
71
0
19 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
Chanhoo Park
Seunghoon Lee
Namyoon Lee
167
6
0
14 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
IEEE wireless communications (WC), 2021
Hang Liu
Zehong Lin
Xiaojun Yuan
Y. Zhang
265
5
0
06 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
IEEE Journal on Selected Areas in Communications (JSAC), 2021
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
237
84
0
30 Jul 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels
IEEE Journal on Selected Areas in Communications (JSAC), 2021
Raz Paul
Yuval Friedman
Kobi Cohen
241
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
134
3
0
05 Jul 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy
IEEE 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
197
92
0
20 Jun 2021
Understanding the Interplay between Privacy and Robustness in Federated Learning
Yaowei Han
Yang Cao
Masatoshi Yoshikawa
FedML
131
3
0
13 Jun 2021
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
328
1,103
0
12 Jun 2021
Wireless Federated Learning with Limited Communication and Differential Privacy
Global Communications Conference (GLOBECOM), 2021
Amir Sonee
Stefano Rini
Yu-Chih Huang
134
10
0
01 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities
International Conference on Evaluation & Assessment in Software Engineering (EASE), 2021
Fauzan Farooqui
Neel Kanwal
M. Jaatun
Chunming Rong
163
21
0
18 May 2021
From Distributed Machine Learning to Federated Learning: A Survey
Knowledge and Information Systems (KAIS), 2021
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
323
321
0
29 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
IEEE Journal on Selected Areas in Communications (JSAC), 2021
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
244
499
0
05 Apr 2021
Over-the-Air Statistical Estimation
Global Communications Conference (GLOBECOM), 2020
Chuan-Zheng Lee
L. P. Barnes
Ayfer Özgür
205
12
0
06 Mar 2021
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