Deception-Based Defense of Poisoning Attack in Federated Learning

Federated Learning (FL) enables decentralized model training to protect data privacy but introduces new security and privacy challenges. One of the most severe threats to FL systems is poisoning attacks, which can disrupt model convergence or manipulate prediction outcomes. Addressing these attacks...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Grace Colette Tessa Masse, Abderrahim Benslimane, Vianney Kengne Tchendji, Ahmed Hemida Anwar
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	FL HoneyFED cyber deception poisoning attacks
Online Access:	https://ieeexplore.ieee.org/document/11170320/