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Wireless Federated Learning with Local Differential Privacy

Wireless Federated Learning with Local Differential Privacy

International Symposium on Information Theory (ISIT), 2020
12 February 2020
Mohamed Seif
Ravi Tandon
Ming Li
ArXiv (abs)PDFHTML

Papers citing "Wireless Federated Learning with Local Differential Privacy"

15 / 65 papers shown
Title
Privacy Amplification for Federated Learning via User Sampling and
  Wireless Aggregation
Privacy Amplification for Federated Learning via User Sampling and Wireless AggregationInternational Symposium on Information Theory (ISIT), 2021
Mohamed Seif
Wei-Ting Chang
Ravi Tandon
FedML
183
51
0
02 Mar 2021
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and CommunicationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
255
153
0
09 Feb 2021
Transparent Contribution Evaluation for Secure Federated Learning on
  Blockchain
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Shuaicheng Ma
Yang Cao
L. Xiong
FedML
202
43
0
26 Jan 2021
On the Practicality of Differential Privacy in Federated Learning by
  Tuning Iteration Times
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
Yao Fu
Yipeng Zhou
Di Wu
Shui Yu
Yonggang Wen
Chao Li
FedML
152
12
0
11 Jan 2021
FLaaS: Federated Learning as a Service
FLaaS: Federated Learning as a Service
N. Kourtellis
Kleomenis Katevas
Diego Perino
FedML
126
66
0
18 Nov 2020
Private Wireless Federated Learning with Anonymous Over-the-Air
  Computation
Private Wireless Federated Learning with Anonymous Over-the-Air ComputationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Burak Hasircioglu
Deniz Gunduz
FedML
173
37
0
17 Nov 2020
A Theoretical Perspective on Differentially Private Federated Multi-task
  Learning
A Theoretical Perspective on Differentially Private Federated Multi-task Learning
Huiwen Wu
Cen Chen
Li Wang
FedML
126
15
0
14 Nov 2020
Strong Privacy and Utility Guarantee: Over-the-Air Statistical
  Estimation
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
Wenhao Zhan
158
0
0
26 Oct 2020
A Comprehensive Survey on Local Differential Privacy Toward Data
  Statistics and Analysis
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and AnalysisItalian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
257
101
0
11 Oct 2020
Over-the-Air Federated Learning from Heterogeneous Data
Over-the-Air Federated Learning from Heterogeneous DataIEEE Transactions on Signal Processing (TSP), 2020
Tomer Sery
Stefano Rini
Kobi Cohen
Yonina C. Eldar
FedML
334
211
0
27 Sep 2020
Wireless for Machine Learning
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
317
18
0
31 Aug 2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local
  Differential Privacy
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential PrivacyInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Lichao Sun
Jianwei Qian
Hang Zhang
FedML
225
251
0
31 Jul 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
245
0
0
29 May 2020
Efficient Federated Learning over Multiple Access Channel with
  Differential Privacy Constraints
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints
Amir Sonee
Stefano Rini
126
17
0
15 May 2020
On Analog Gradient Descent Learning over Multiple Access Fading Channels
On Analog Gradient Descent Learning over Multiple Access Fading ChannelsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Tomer Sery
Kobi Cohen
171
171
0
20 Aug 2019
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