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2009.08063
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FLAME: Differentially Private Federated Learning in the Shuffle Model
AAAI Conference on Artificial Intelligence (AAAI), 2020
17 September 2020
Ruixuan Liu
Yang Cao
Hong Chen
Ruoyang Guo
Masatoshi Yoshikawa
FedML
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Papers citing
"FLAME: Differentially Private Federated Learning in the Shuffle Model"
32 / 32 papers shown
How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations
Marc Damie
Florian Hahn
Andreas Peter
Jan Ramon
FedML
391
1
0
02 Jul 2025
Second-Order Convergence in Private Stochastic Non-Convex Optimization
Youming Tao
Zuyuan Zhang
Dongxiao Yu
Xiuzhen Cheng
Falko Dressler
Di Wang
296
4
0
21 May 2025
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
IEEE Symposium on Security and Privacy (S&P), 2025
Takao Murakami
Yuichi Sei
Reo Eriguchi
285
4
0
10 Apr 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
International Conference on Learning Representations (ICLR), 2025
Tal Wagner
FedML
353
0
0
21 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
International Conference on Machine Learning (ICML), 2024
Saber Malekmohammadi
Yaoliang Yu
Yang Cao
FedML
447
8
0
17 Feb 2025
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen
Haonan Ma
Haibin Zheng
DiffM
AAML
170
0
0
05 Nov 2024
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches
Meifan Zhang
Zhanhong Xie
Lihua Yin
FedML
290
2
0
08 Oct 2024
Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy
Conference on Computer and Communications Security (CCS), 2024
Shuangqing Xu
Yifeng Zheng
Zhongyun Hua
FedML
186
9
0
04 Oct 2024
Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2024
Hiroto Sawada
Shoko Imaizumi
Hitoshi Kiya
FedML
AAML
199
0
0
30 Sep 2024
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
Yi-xiao Liu
Yuhan Liu
Li Xiong
Yujie Gu
Hong Chen
FedML
240
1
0
25 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence
Shuya Feng
Meisam Mohammady
Hanbin Hong
Shenao Yan
Ashish Kundu
Binghui Wang
Yuan Hong
FedML
404
5
0
20 Jul 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Lulu Xue
Shengshan Hu
Rui-Qing Zhao
Leo Yu Zhang
Shengqing Hu
Lichao Sun
Dezhong Yao
AAML
268
8
0
30 Jan 2024
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
E. Chen
Yang Cao
Yifei Ge
FedML
313
13
0
22 Dec 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning
European Conference on Artificial Intelligence (ECAI), 2023
Xingliang Yuan
Trevor Cohn
Olga Ohrimenko
FedML
202
2
0
12 Sep 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
European Symposium on Research in Computer Security (ESORICS), 2023
Yunlong Mao
Zexi Xin
Zhenyu Li
Jue Hong
Qingyou Yang
Sheng Zhong
MIACV
AAML
215
18
0
19 Apr 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
Jian Xu
Mei Yang
Wenbo Ding
Shao-Lun Huang
FedML
277
7
0
11 Mar 2023
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
327
80
0
10 Oct 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Proceedings of the VLDB Endowment (PVLDB), 2022
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
308
40
0
11 Sep 2022
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Hamid Mozaffari
Virendra J. Marathe
D. Dice
FedML
262
5
0
16 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning
IEEE Transactions on Big Data (TBD), 2022
Zhaomin Wu
Yue Liu
Bingsheng He
FedML
213
58
0
13 Aug 2022
Fine-grained Private Knowledge Distillation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yuntong Li
Shaowei Wang
Yingying Wang
Jin Li
Yuqiu Qian
Bangzhou Xin
Wei Yang
240
1
0
27 Jul 2022
Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model
Conference on Computer and Communications Security (CCS), 2022
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
221
41
0
03 May 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
356
34
0
13 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
358
107
0
15 Feb 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification
Proceedings of the VLDB Endowment (PVLDB), 2022
Fumiyuki Kato
Yang Cao
Masatoshi Yoshikawa
FedML
278
10
0
15 Feb 2022
DENSE: Data-Free One-Shot Federated Learning
Neural Information Processing Systems (NeurIPS), 2021
Jie M. Zhang
Chen Chen
Yue Liu
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chunhua Shen
Chao Wu
FedML
DD
449
174
0
23 Dec 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
Xiaopeng Jiang
Han Hu
Vijaya Datta Mayyuri
An M. Chen
D. Shila
Adriaan Larmuseau
Ruoming Jin
Cristian Borcea
Nhathai Phan
FedML
239
16
0
17 Nov 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
IEEE Internet of Things Journal (IEEE IoT Journal), 2021
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
239
57
0
17 May 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
International Journal of Machine Learning and Cybernetics (IJMLC), 2021
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
626
126
0
25 Feb 2021
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Shuaicheng Ma
Yang Cao
L. Xiong
FedML
267
46
0
26 Jan 2021
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
Lushan Song
Guopeng Lin
Jiaxuan Wang
Haoqi Wu
Wenqiang Ruan
Weili Han
513
9
0
06 Dec 2020
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Rui Hu
Yanmin Gong
Yuanxiong Guo
FedML
188
61
0
01 Aug 2020
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