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Byzantine-Resilient High-Dimensional Federated Learning

Byzantine-Resilient High-Dimensional Federated Learning

22 June 2020
Deepesh Data
Suhas Diggavi
    FedML
    AAML
ArXivPDFHTML

Papers citing "Byzantine-Resilient High-Dimensional Federated Learning"

9 / 9 papers shown
Title
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
37
0
0
12 May 2025
Online Learning with Adversaries: A Differential-Inclusion Analysis
Online Learning with Adversaries: A Differential-Inclusion Analysis
Swetha Ganesh
Alexandre Reiffers
Gugan Thoppe
FedML
39
3
0
04 Apr 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic
  Gradient Descent
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent
Shashank Reddy Chirra
K. Nadimpalli
Shrisha Rao
27
0
0
16 Jan 2023
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning
Dongfang Zhao
FedML
35
0
0
21 Dec 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of
  Byzantine Colluders
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
Hanlin Gu
Lixin Fan
Xingxing Tang
Qiang Yang
AAML
FedML
27
1
0
24 Nov 2022
A simplified convergence theory for Byzantine resilient stochastic
  gradient descent
A simplified convergence theory for Byzantine resilient stochastic gradient descent
Lindon Roberts
E. Smyth
31
3
0
25 Aug 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
98
30
0
24 May 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
27
62
0
25 Feb 2020
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