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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3624388
Abstract: This paper introduces a novel, fully distributed privacy-enhanced defense control (PEDC) framework for DC Microgrid (DC MG), enhancing both resilience against exponentially unbounded false data injection (EU-FDI) attacks and exchanged data privacy on the sparse…
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Keywords:
enhanced defense;
framework;
control;
privacy ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3391342
Abstract: Federated learning (FL) enables multiple Internet of Things (IoT) devices to collaboratively train a global model without centralizing raw data. However, achieving optimal performance for each device is challenging due to the heterogeneity of IoT…
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Keywords:
privacy;
iot data;
model;
federated learning ... See more keywords
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Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3238544
Abstract: Liu et al. (2021) recently proposed a privacy-enhanced framework named PEFL to efficiently detect poisoning behaviours in Federated Learning (FL) using homomorphic encryption. In this article, we show that PEFL does not preserve privacy. In…
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Keywords:
comments privacy;
enhanced federated;
federated learning;
learning poisoning ... See more keywords
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Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3175945
Abstract: The rapid development of Internet of Things (IoT) stimulates the innovation for the health-related devices such as remote patient monitoring, connected inhalers and ingestible sensors. Simultaneously, with the aid of numerous equipments, a great number…
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Keywords:
enhanced federated;
federated edge;
efficient privacy;
privacy enhanced ... See more keywords