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2012.05326
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Privacy Amplification by Decentralization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
9 December 2020
Edwige Cyffers
A. Bellet
FedML
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Papers citing
"Privacy Amplification by Decentralization"
29 / 29 papers shown
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via
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f
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-Differential Privacy
Xiang Li
Buxin Su
Chendi Wang
Qi Long
Weijie J. Su
FedML
251
4
0
22 Oct 2025
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
A. Bellet
Edwige Cyffers
Davide Frey
Romaric Gaudel
Dimitri Lerévérend
François Taïani
238
2
0
20 Oct 2025
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
Qinglun Li
Yingqi Liu
Miao Zhang
Xiaochun Cao
Quanjun Yin
Li Shen
162
2
0
09 Oct 2025
How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations
Marc Damie
Florian Hahn
Andreas Peter
Jan Ramon
FedML
404
1
0
02 Jul 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin
A. Bellet
Marc Tommasi
Matthieu Boussard
MIACV
393
4
0
05 Jun 2025
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
A. Koskela
Tejas D. Kulkarni
392
2
0
26 May 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
320
7
0
10 Mar 2025
Differential Privacy on Trust Graphs
Information Technology Convergence and Services (ITCS), 2024
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Serena Wang
268
1
0
15 Oct 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
306
2
0
09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
265
1
0
09 Oct 2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
Hansi Yang
James T. Kwok
356
0
0
19 Jun 2024
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
351
3
0
10 Jun 2024
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
International Conference on Learning Representations (ICLR), 2024
Tudor Cebere
A. Bellet
Nicolas Papernot
553
18
0
23 May 2024
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes
Sayan Biswas
Mathieu Even
Anne-Marie Kermarrec
Laurent Massoulie
Rafael Pires
Rishi Sharma
M. Vos
270
0
0
15 Apr 2024
Asymmetrically Decentralized Federated Learning
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Qinglun Li
Miao Zhang
Nan Yin
Quanjun Yin
Li Shen
FedML
395
8
0
08 Oct 2023
On the Inherent Anonymity of Gossiping
International Symposium on Distributed Computing (DISC), 2023
R. Guerraoui
Anne-Marie Kermarrec
A. Kucherenko
Rafael Pinot
S. Voitovych
230
5
0
04 Aug 2023
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
IEEE Transactions on Automatic Control (TAC), 2023
Ziqin Chen
Yongqiang Wang
338
6
0
25 Jun 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
International Conference on Machine Learning (ICML), 2023
Edwige Cyffers
A. Bellet
D. Basu
FedML
453
6
0
24 Feb 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions
Findings (Findings), 2023
Lijie Hu
Ivan Habernal
Lei Shen
Haiyan Zhao
AAML
332
27
0
22 Jan 2023
Straggler-Resilient Differentially-Private Decentralized Learning
Information Theory Workshop (ITW), 2022
Yauhen Yakimenka
Chung-Wei Weng
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
481
8
0
06 Dec 2022
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
308
2
0
05 Oct 2022
Walking to Hide: Privacy Amplification via Random Message Exchanges in Network
Hao Wu
O. Ohrimenko
Anthony Wirth
FedML
271
1
0
20 Jun 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Neural Information Processing Systems (NeurIPS), 2022
Edwige Cyffers
Mathieu Even
A. Bellet
Laurent Massoulié
FedML
537
32
0
10 Jun 2022
A principled framework for the design and analysis of token algorithms
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Aymeric Dieuleveut
FedML
272
19
0
30 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Dario Pasquini
Mathilde Raynal
Carmela Troncoso
OOD
FedML
397
35
0
17 May 2022
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning
International Conference on Computing, Networking and Communications (ICNC), 2022
Ahmed El Ouadrhiri
Ahmed M Abdelhadi
183
7
0
01 May 2022
Communication-Efficient Triangle Counting under Local Differential Privacy
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
422
43
0
13 Oct 2021
Federated Multi-Task Learning under a Mixture of Distributions
Neural Information Processing Systems (NeurIPS), 2021
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
FedML
561
372
0
23 Aug 2021
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
780
8,302
0
10 Dec 2019
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