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Differential Privacy Meets Federated Learning under Communication
  Constraints

Differential Privacy Meets Federated Learning under Communication Constraints

28 January 2021
Nima Mohammadi
Jianan Bai
Nan Cheng
Yifei Song
Yuhao Yi
Lingjia Liu
    FedML
ArXiv (abs)PDFHTML

Papers citing "Differential Privacy Meets Federated Learning under Communication Constraints"

13 / 13 papers shown
Title
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
24
0
0
13 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
52
0
0
29 May 2025
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
Wei Huo
Changxin Liu
Kemi Ding
Karl H. Johansson
Ling Shi
FedML
99
0
0
08 Aug 2024
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Siyuan Yu
Wei Chen
H. V. Poor
98
0
0
17 Jun 2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered
  by Artificial Intelligence Generated Content
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Guangjing Huang
Qiong Wu
Jingyi Li
Xu Chen
FedML
72
4
0
12 Jun 2024
Layered Randomized Quantization for Communication-Efficient and
  Privacy-Preserving Distributed Learning
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning
Guangfeng Yan
Tan Li
Tian-Shing Lan
Kui Wu
Linqi Song
44
7
0
12 Dec 2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and
  Privacy-Preserving Federated Learning
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
Jianhua Wang
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Lin Li
Yingying Yao
FedML
55
3
0
01 Jun 2023
Federated Foundation Models: Privacy-Preserving and Collaborative
  Learning for Large Models
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
78
51
0
19 May 2023
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network
  Framework for Edge Cloud Convergence
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
Veronika Stephanie
I. Khalil
Mohammad Saidur Rahman
Mohammed Atiquzzaman
FedML
40
12
0
16 May 2023
Killing Two Birds with One Stone: Quantization Achieves Privacy in
  Distributed Learning
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
Guangfeng Yan
Tan Li
Kui Wu
Linqi Song
58
13
0
26 Apr 2023
Distributed Learning Meets 6G: A Communication and Computing Perspective
Distributed Learning Meets 6G: A Communication and Computing Perspective
Shashank Jere
Yifei Song
Yuhao Yi
Lingjia Liu
71
11
0
02 Mar 2023
Differentially Private Vertical Federated Learning
Differentially Private Vertical Federated Learning
Thilina Ranbaduge
Ming Ding
FedML
76
14
0
13 Nov 2022
Federated Dynamic Spectrum Access
Federated Dynamic Spectrum Access
Yifei Song
Haowen Chang
Zhou Zhou
Shashank Jere
Lingjia Liu
48
5
0
28 Jun 2021
1