An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning

An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning

Federated learning (FL) has gained widespread adoption for training artificial intelligence (AI) models while ensuring the confidentiality of client data. However, this privacy-preserving nature of FL also makes it vulnerable to poisoning attacks. To counter these attacks, several defense methods ha...

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Bibliographic Details
Main Authors: Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Defense method
federated learning
global model
local model
poisoning attacks
Online Access:https://ieeexplore.ieee.org/document/10946885/
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