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Differentially Private Federated Learning: A Systematic Review
v1v2v3v4 (latest)

Differentially Private Federated Learning: A Systematic Review

14 May 2024
Jie Fu
Yuan Hong
Xinpeng Ling
Leixia Wang
Xun Ran
Zhiyu Sun
Wendy Hui Wang
Zhili Chen
Yang Cao
ArXiv (abs)PDFHTMLGithub

Papers citing "Differentially Private Federated Learning: A Systematic Review"

11 / 11 papers shown
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song
Jianfei Xue
Lichen Zhang
212
0
0
21 Sep 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
Jianqing Zhang
Yang Liu
Jie Fu
Yang Hua
Tianyuan Zou
Jian Cao
Qiang Yang
258
2
0
04 Jun 2025
Accelerated Training of Federated Learning via Second-Order Methods
Accelerated Training of Federated Learning via Second-Order Methods
Mrinmay Sen
Sidhant R Nair
C Krishna Mohan
FedML
260
0
0
29 May 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
Tong Cheng
Fu Jie
Xinpeng Ling
Huifa Li
Zhili Chen
Haifeng Qian
Junqing Gong
AAMLFedML
424
1
0
21 May 2025
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
Haochen Sun
Xi He
396
1
0
30 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
297
2
0
02 Apr 2025
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
Single-cell Curriculum Learning-based Deep Graph Embedding ClusteringIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Huifa Li
Jie Fu
Xinpeng Ling
Zhiyu Sun
Kuncan Wang
Zhili Chen
165
0
0
20 Aug 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated
  Learning: Boosting Accuracy and Convergence
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
454
5
0
20 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
390
29
0
09 Jul 2024
Learning with User-Level Local Differential Privacy
Learning with User-Level Local Differential Privacy
Puning Zhao
Li Shen
Rongfei Fan
Qingming Li
Huiwen Wu
Yan Han
Zhe Liu
253
5
0
27 May 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level
  Differential Privacy
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
Puning Zhao
Lifeng Lai
Li Shen
Qingming Li
Yan Han
Zhe Liu
321
14
0
22 May 2024
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