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. 2312.04587
  4. Cited By
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against
  Adversarial Attacks

FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks

4 December 2023
Marc Vucovich
Devin Quinn
K. Choi
Christopher Redino
Abdul Rahman
Edward Bowen
ArXivPDFHTML

Papers citing "FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks"

2 / 2 papers shown
Title
A Bayesian Federated Learning Framework with Online Laplace
  Approximation
A Bayesian Federated Learning Framework with Online Laplace Approximation
Liang Liu
Xi Jiang
Feng Zheng
Hong Chen
Guo-Jun Qi
Heng-Chiao Huang
Ling Shao
FedML
45
54
0
03 Feb 2021
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on
  Time Series
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
Pradeep Rathore
Arghya Basak
S. Nistala
Venkataramana Runkana
AAML
34
40
0
13 Jan 2021
1