A Data Poisoning Resistible and Privacy Protection Federated-Learning Mechanism for Ubiquitous IoT
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DOI: 10.1109/jiot.2024.3514637
Abstract: As a novel distributed learning paradigm, federated learning (FL) allows clients to train global models collaboratively without exchanging private data. However, recent research not only demonstrates the vulnerability of FL against privacy attacks where adversaries… read more here.
Keywords: data poisoning; privacy; resistible privacy; federated learning ... See more keywords