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. 1908.08649
  4. Cited By
Adversary-resilient Distributed and Decentralized Statistical Inference
  and Machine Learning: An Overview of Recent Advances Under the Byzantine
  Threat Model

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model

23 August 2019
Zhixiong Yang
Arpita Gang
W. Bajwa
    OOD
    AAML
ArXivPDFHTML

Papers citing "Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model"

3 / 3 papers shown
Title
Byzantine-Resilient Decentralized Stochastic Optimization with Robust
  Aggregation Rules
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules
Zhaoxian Wu
Tianyi Chen
Qing Ling
36
36
0
09 Jun 2022
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Federated Variance-Reduced Stochastic Gradient Descent with Robustness
  to Byzantine Attacks
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Zhaoxian Wu
Qing Ling
Tianyi Chen
G. Giannakis
FedML
AAML
34
181
0
29 Dec 2019
1