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. 2101.00159
  4. Cited By
Fidel: Reconstructing Private Training Samples from Weight Updates in
  Federated Learning

Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning

1 January 2021
David Enthoven
Zaid Al-Ars
    FedML
ArXivPDFHTML

Papers citing "Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning"

4 / 4 papers shown
Title
Dropout is NOT All You Need to Prevent Gradient Leakage
Dropout is NOT All You Need to Prevent Gradient Leakage
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
19
12
0
12 Aug 2022
Recovering Private Text in Federated Learning of Language Models
Recovering Private Text in Federated Learning of Language Models
Samyak Gupta
Yangsibo Huang
Zexuan Zhong
Tianyu Gao
Kai Li
Danqi Chen
FedML
25
74
0
17 May 2022
DFL: High-Performance Blockchain-Based Federated Learning
DFL: High-Performance Blockchain-Based Federated Learning
Yongding Tian
Zhuoran Guo
Jiaxuan Zhang
Zaid Al-Ars
OOD
FedML
29
10
0
28 Oct 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
432
0
04 Mar 2020
1