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Differentially Private Distributed Online Learning
v1v2 (latest)

Differentially Private Distributed Online Learning

25 May 2015
Chencheng Li
Pan Zhou
    FedML
ArXiv (abs)PDFHTML

Papers citing "Differentially Private Distributed Online Learning"

23 / 23 papers shown
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
LRM
350
11
0
01 Apr 2025
Federated Online Prediction from Experts with Differential Privacy:
  Separations and Regret Speed-ups
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-upsNeural Information Processing Systems (NeurIPS), 2024
Fengyu Gao
Ruiquan Huang
Jing Yang
FedML
201
1
0
27 Sep 2024
Privacy-Preserving Distributed Optimization and Learning
Privacy-Preserving Distributed Optimization and Learning
Ziqin Chen
Yongqiang Wang
202
7
0
29 Feb 2024
Locally Differentially Private Gradient Tracking for Distributed Online
  Learning over Directed Graphs
Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed GraphsIEEE Transactions on Automatic Control (TAC), 2023
Ziqin Chen
Yongqiang Wang
FedML
227
6
0
24 Oct 2023
Locally Differentially Private Distributed Online Learning with
  Guaranteed Optimality
Locally Differentially Private Distributed Online Learning with Guaranteed OptimalityIEEE Transactions on Automatic Control (TAC), 2023
Ziqin Chen
Yongqiang Wang
297
6
0
25 Jun 2023
Distributed sequential federated learning
Distributed sequential federated learning
Z. Wang
X. Y. Zhang
Yansong Chang
FedML
88
0
0
31 Jan 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees
Enforcing Privacy in Distributed Learning with Performance GuaranteesIEEE Transactions on Signal Processing (IEEE TSP), 2023
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
233
16
0
16 Jan 2023
Privacy-preserving Non-negative Matrix Factorization with Outliers
Privacy-preserving Non-negative Matrix Factorization with OutliersACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Swapnil Saha
H. Imtiaz
PICV
249
6
0
02 Nov 2022
Distributed Online Private Learning of Convex Nondecomposable Objectives
Distributed Online Private Learning of Convex Nondecomposable ObjectivesIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Huqiang Cheng
Xiao-Fei Liao
Huaqing Li
293
6
0
16 Jun 2022
A Survey on Distributed Online Optimization and Game
A Survey on Distributed Online Optimization and Game
Xiuxian Li
Lihua Xie
Na Li
OffRL
271
5
0
01 May 2022
Privatized Graph Federated Learning
Privatized Graph Federated LearningEURASIP Journal on Advances in Signal Processing (EURASIP J. Adv. Signal Process.), 2022
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
180
4
0
14 Mar 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
239
13
0
19 Dec 2021
A Graph Federated Architecture with Privacy Preserving Learning
A Graph Federated Architecture with Privacy Preserving LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
Elsa Rizk
Ali H. Sayed
FedML
222
25
0
26 Apr 2021
Privacy Amplification by Decentralization
Privacy Amplification by DecentralizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Edwige Cyffers
A. Bellet
FedML
459
45
0
09 Dec 2020
Graph-Homomorphic Perturbations for Private Decentralized Learning
Graph-Homomorphic Perturbations for Private Decentralized LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Stefan Vlaski
Ali H. Sayed
FedML
198
8
0
23 Oct 2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized
  Statistical Estimation for Real-time Crowd-sourced Data
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data
Xuebin Ren
Chia-Mu Yu
Wei Yu
Xinyu Yang
Jun Zhao
Shusen Yang
180
8
0
29 Sep 2020
Topology-aware Differential Privacy for Decentralized Image
  Classification
Topology-aware Differential Privacy for Decentralized Image Classification
Shangwei Guo
Tianwei Zhang
Guowen Xu
Hanzhou Yu
Tao Xiang
Yang Liu
216
18
0
14 Jun 2020
User-Level Privacy-Preserving Federated Learning: Analysis and
  Performance Optimization
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Hang Su
Bo Zhang
H. Vincent Poor
FedML
117
11
0
29 Feb 2020
Understand Dynamic Regret with Switching Cost for Online Decision Making
Understand Dynamic Regret with Switching Cost for Online Decision MakingACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019
Yawei Zhao
Qian Zhao
Xingxing Zhang
En Zhu
Xinwang Liu
Jianping Yin
173
14
0
28 Nov 2019
Distributed Differentially Private Computation of Functions with
  Correlated Noise
Distributed Differentially Private Computation of Functions with Correlated Noise
H. Imtiaz
Jafar Mohammadi
Anand D. Sarwate
OOD
238
13
0
22 Apr 2019
Private Learning on Networks
Private Learning on Networks
Shripad Gade
Nitin H. Vaidya
FedML
120
15
0
15 Dec 2016
A Theoretical Framework for Robustness of (Deep) Classifiers against
  Adversarial Examples
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang
Ji Gao
Yanjun Qi
AAML
893
31
0
01 Dec 2016
Privacy Preservation in Distributed Subgradient Optimization Algorithms
Privacy Preservation in Distributed Subgradient Optimization Algorithms
Youcheng Lou
Lean Yu
Shouyang Wang
98
80
0
30 Dec 2015
1
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