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. 2002.09096
  4. Cited By
Anonymizing Data for Privacy-Preserving Federated Learning

Anonymizing Data for Privacy-Preserving Federated Learning

21 February 2020
Olivia Choudhury
A. Gkoulalas-Divanis
Theodoros Salonidis
I. Sylla
Yoonyoung Park
Grace Hsu
Amar K. Das
    FedML
ArXivPDFHTML

Papers citing "Anonymizing Data for Privacy-Preserving Federated Learning"

3 / 3 papers shown
Title
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
33
244
0
20 Jul 2023
Differentially private cross-silo federated learning
Differentially private cross-silo federated learning
Mikko A. Heikkilä
A. Koskela
Kana Shimizu
Samuel Kaski
Antti Honkela
FedML
15
24
0
10 Jul 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
1