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Dynamic Defense Against Byzantine Poisoning Attacks in Federated
  Learning

Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning

29 July 2020
Nuria Rodríguez-Barroso
Eugenio Martínez-Cámara
M. V. Luzón
Francisco Herrera
    FedML
    AAML
ArXivPDFHTML

Papers citing "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning"

5 / 5 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
35
0
0
12 May 2025
EcoLearn: Optimizing the Carbon Footprint of Federated Learning
EcoLearn: Optimizing the Carbon Footprint of Federated Learning
Talha Mehboob
Noman Bashir
Jesus Omana Iglesias
Michael Zink
David Irwin
25
0
0
27 Oct 2023
A Snapshot of the Frontiers of Client Selection in Federated Learning
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Németh
M. Lozano
Novi Quadrianto
Nuria Oliver
FedML
104
14
0
27 Sep 2022
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks
  in Federated Learning
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Md Tamjid Hossain
Shafkat Islam
S. Badsha
Haoting Shen
AAML
55
41
0
21 Sep 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
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