Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.00222
Cited By
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
1 November 2019
Kang Wei
Jun Li
Ming Ding
Chuan Ma
H. Yang
Farokhi Farhad
Shi Jin
Tony Q. S. Quek
H. Vincent Poor
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Learning with Differential Privacy: Algorithms and Performance Analysis"
50 / 173 papers shown
Title
sqSGD: Locally Private and Communication Efficient Federated Learning
Yan Feng
Tao Xiong
Ruofan Wu
Lingjuan Lv
Leilei Shi
FedML
25
2
0
21 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
35
36
0
15 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
Ali Bereyhi
Adela Vagollari
S. Asaad
R. Muller
W. Gerstacker
H. Vincent Poor
23
6
0
14 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen
Dawei Gao
Weirui Kuang
Yaliang Li
Bolin Ding
FedML
30
63
0
08 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Meisam Hejazinia
Dzmitry Huba
Ilias Leontiadis
Kiwan Maeng
Mani Malek
Luca Melis
Ilya Mironov
Milad Nasr
Kaikai Wang
Carole-Jean Wu
FedML
9
5
0
07 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
24
6
0
27 May 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
Dun Zeng
Shiyu Liu
Siqi Liang
Zonghang Li
Hongya Wang
Irwin King
Zenglin Xu
FedML
19
0
0
26 May 2022
A Practical Cross-Device Federated Learning Framework over 5G Networks
Wenti Yang
Naiyu Wang
Zhitao Guan
Longfei Wu
Xiaojiang Du
Mohsen Guizani
FedML
13
28
0
18 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
88
0
11 Apr 2022
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
Md Tamjid Hossain
S. Badsha
Hung M. La
Haoting Shen
Shafkat Islam
Ibrahim Khalil
X. Yi
AAML
19
3
0
06 Apr 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Tiantian Feng
Raghuveer Peri
Shrikanth Narayanan
FedML
18
28
0
05 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAML
FedML
21
57
0
01 Apr 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad
Servio Paguada
Oguzhan Ersoy
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
FedML
26
6
0
16 Mar 2022
Privatized Graph Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
14
4
0
14 Mar 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
13
15
0
23 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
21
56
0
18 Feb 2022
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
16
21
0
17 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications
Dhurgham Hassan Mahlool
Mohammed Hamzah Abed
FedML
23
22
0
23 Jan 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework
Tian Dong
Song Li
Han Qiu
Jialiang Lu
FedML
14
16
0
10 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
17
73
0
05 Jan 2022
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings
Tiantian Feng
H. Hashemi
Rajat Hebbar
M. Annavaram
Shrikanth S. Narayanan
23
25
0
26 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
31
9
0
19 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation
Alper Cetinkaya
M. Akin
Ş. Sağiroğlu
OOD
FedML
22
16
0
12 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi Ma
Zhao-quan Song
Guang Lin
FedML
30
16
0
09 Dec 2021
Location Leakage in Federated Signal Maps
Evita Bakopoulou
Justin Ley
Jiang Zhang
Konstantinos Psounis
A. Markopoulou
FedML
20
5
0
07 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 Nov 2021
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
27
87
0
17 Nov 2021
Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble
A. Bellet
Aymeric Dieuleveut
FedML
13
102
0
17 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
28
5
0
17 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Yuezhou Wu
Yan Kang
Jiahuan Luo
Yuanqin He
Qiang Yang
FedML
AAML
19
69
0
16 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger
Mohak Chadha
Anshul Jindal
Jianfeng Gu
Michael Gerndt
36
49
0
05 Nov 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
25
94
0
22 Oct 2021
Federated Learning from Small Datasets
Michael Kamp
Jonas Fischer
Jilles Vreeken
FedML
32
26
0
07 Oct 2021
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks
Ferheen Ayaz
Zhengguo Sheng
Daxin Tian
Y. L. Guan
16
52
0
11 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
104
241
0
09 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Hang Liu
Zehong Lin
Xiaojun Yuan
Y. Zhang
15
5
0
06 Sep 2021
Federated Learning Meets Fairness and Differential Privacy
P. Manisha
Sankarshan Damle
Sujit Gujar
FedML
30
21
0
23 Aug 2021
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects
Fangqi Li
Shi-Lin Wang
Alan Wee-Chung Liew
24
8
0
20 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
Enrique Mármol Campos
Pablo Fernández Saura
Aurora González-Vidal
José Luis Hernández Ramos
Jorge Bernal Bernabé
G. Baldini
A. Gómez-Skarmeta
38
149
0
02 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
33
72
0
01 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Precision-Weighted Federated Learning
Jonatan Reyes
Di-Jorio Lisa
Cécile Low-Kam
Marta Kersten-Oertel
FedML
16
35
0
20 Jul 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
Xinwei Zhang
Xiangyi Chen
Min-Fong Hong
Zhiwei Steven Wu
Jinfeng Yi
FedML
30
91
0
25 Jun 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
32
73
0
20 Jun 2021
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
33
47
0
11 Jun 2021
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
13
92
0
02 Jun 2021
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
He Yang
14
27
0
01 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Qian Chen
Zilong Wang
Wenjing Zhang
Xiaodong Lin
FedML
28
16
0
30 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
24
46
0
17 May 2021
Previous
1
2
3
4
Next