ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.17044
  4. Cited By
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine
  Learning

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning

31 March 2022
Ziyao Liu
Jiale Guo
Kwok-Yan Lam
Jun Zhao
ArXiv (abs)PDFHTML

Papers citing "Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning"

11 / 11 papers shown
Title
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Xiang Zhang
Zhou Li
Kai Wan
Hua Sun
Mingyue Ji
Giuseppe Caire
139
1
0
06 Mar 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Runhua Xu
Bo Li
Chao Li
J. Joshi
Shuai Ma
Jianxin Li
FedML
132
10
0
10 Jan 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing
Qingqing Ren
Wen Wang
Shuyong Zhu
Zhiyuan Wu
Yujun Zhang
99
0
0
02 Jan 2025
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
141
1
0
19 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAMLMU
131
33
0
20 Mar 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in
  Federated Learning
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Yu Jiang
Jiyuan Shen
Ziyao Liu
Chee Wei Tan
Kwok-Yan Lam
AAMLFedML
126
5
0
16 Jan 2024
Modern Computing: Vision and Challenges
Modern Computing: Vision and Challenges
S. Gill
Huaming Wu
Panos Patros
Carlo Ottaviani
Priyansh Arora
...
Salil S. Kanhere
Schahram Dustdar
Steve Uhlig
K. Ramamohanarao
Rajkumar Buyya
77
100
0
04 Jan 2024
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning
  Without Compromise
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise
Siqing Zhang
Yong Liao
Pengyuan Zhou
FedML
57
2
0
08 Dec 2023
Human-imperceptible, Machine-recognizable Images
Human-imperceptible, Machine-recognizable Images
Fusheng Hao
Fengxiang He
Yikai Wang
Fuxiang Wu
Jing Zhang
Jun Cheng
Dacheng Tao
AAML
80
2
0
06 Jun 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated
  Learning for Split Models
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li
Duanyi Yao
Jin Liu
FedML
126
30
0
26 Apr 2023
Efficient Differentially Private Secure Aggregation for Federated
  Learning via Hardness of Learning with Errors
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
Timothy Stevens
Christian Skalka
C. Vincent
J. Ring
Samuel Clark
Joseph P. Near
FedML
75
73
0
13 Dec 2021
1