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Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
2025Elias Dritsas, Maria Trigka
[2]
FLARE: A Backdoor Attack to Federated Learning with Refined Evasion
2024Qingya Wang, Yi Wu et al.
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Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
2023Haomin Zhuang, Mingxian Yu et al.
[4]
Oblivion: Poisoning Federated Learning by Inducing Catastrophic Forgetting
2023Chen Zhang, Boyang Zhou et al.
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3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning
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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
2022Zaixi Zhang, Xiaoyu Cao et al.
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FLAME: Taming Backdoors in Federated Learning
2022T. D. Nguyen, P. Rieger et al.
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FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
2020Xiaoyu Cao, Minghong Fang et al.
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Defending Against Backdoors in Federated Learning with Robust Learning Rate
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"Develop robust defenses in Federated Learning to mitigate layer-specific backdoor attacks like LSA."

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