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FLIFRA: Hybrid data poisoning attack detection in federated learning for IoT security

M. B. Anley et al.
IRIS · Papers
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The rapid expansion of IoT devices has transformed numerous industries by enabling extensive data collection and real-time analytics. Federated Learning (FL) offers a decentralized model training paradigm that ensures data privacy, making it particularly suitable for IoT environments. Yet, it remain
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