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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3151670
Abstract: Users’ privacy is vulnerable at all stages of the deep learning process. Sensitive information of users may be disclosed during data collection, during training, or even after releasing the trained learning model. Differential privacy (DP)…
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Keywords:
deep federated;
federated learning;
survey;
privacy ... See more keywords
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Published in 2022 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.002.2100272
Abstract: An essential consideration in cyber-physical systems (CPS) is the ability to support secure communication services, such as points of interest (POI) microservices. Existing approaches to support secure POI microservices generally rely on anonymity and/or differential…
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Keywords:
deep federated;
federated learning;
poi microservices;
secure ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3032165
Abstract: Fifth generation and beyond networks are envisioned to support multi industrial Internet of Things (IIoT) applications with a diverse quality-of-service (QoS) requirements. Network slicing is recognized as a flagship technology that enables IIoT networks with…
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Keywords:
federated learning;
learning based;
deep federated;
network slicing ... See more keywords
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Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12020275
Abstract: Brain tumors are a deadly disease with a high mortality rate. Early diagnosis of brain tumors improves treatment, which results in a better survival rate for patients. Artificial intelligence (AI) has recently emerged as an…
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Keywords:
deep federated;
brain tumor;
diagnosis;
brain tumors ... See more keywords