Blockchain-Based Federated Learning in UAVs Beyond 5G Networks: A Solution Taxonomy and Future Directions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161132
Abstract: Recently, unmanned aerial vehicles (UAVs) have gained attention due to increased use-cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly communicate with mobile base stations, ground stations (GS), or networked peer UAVs, known as… read more here.
Keywords: future directions; blockchain based; uav swarms; federated learning ... See more keywords
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3134835
Abstract: AI healthcare applications rely on sensitive electronic healthcare records (EHRs) that are scarcely labelled and are often distributed across a network of the symbiont institutions. It is challenging to train the effective machine learning models… read more here.
Keywords: dynamic neural; neural graphs; graphs based; healthcare ... See more keywords
Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3172269
Abstract: Internet-Delivered Psychological Treatment (IDPT) has become necessary in the medical field. Deep neural networks (DNNs) require large, diverse patient populations to train models that achieve clinician-level performance. However, DNN models trained on limited datasets have… read more here.
Keywords: federated learning; attention based; based federated; mental health ... See more keywords
A Fast Blockchain-Based Federated Learning Framework With Compressed Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3213345
Abstract: Recently, blockchain-based federated learning (BFL) has attracted intensive research attention due to that the training process is auditable and the architecture is serverless avoiding the single point failure of the parameter server in vanilla federated… read more here.
Keywords: bfl; blockchain based; federated learning; fast blockchain ... See more keywords
Contribution- and Participation-Based Federated Learning on Non-IID Data
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DOI: 10.1109/mis.2022.3168298
Abstract: The learning process takes place inside clients in federated learning (FL). How to effectively motivate clients and avoid the impact of statistical heterogeneity are challenges in FL. This article proposes contribution- and participation-based federated learning… read more here.
Keywords: participation based; federated learning; contribution; based federated ... See more keywords
SMPC-Based Federated Learning for 6G-Enabled Internet of Medical Things
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DOI: 10.1109/mnet.007.2100717
Abstract: Rapidly developing intelligent healthcare systems are underpinned by sixth generation (6G) connectivity, the ubiquitous Internet of Things, and deep learning (DL) techniques. This portends a future where 6G powers the Internet of Medical Things (loMT)… read more here.
Keywords: medical things; federated learning; smpc based; based federated ... See more keywords
Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3170348
Abstract: This article proposes a blockchain-based federated learning (FL) framework with Intel Software Guard Extension (SGX)-based trusted execution environment (TEE) to securely aggregate local models in Industrial Internet-of-Things (IIoTs). In FL, local models can be tampered… read more here.
Keywords: aggregation; blockchain based; federated learning; based federated ... See more keywords
Trustworthy Localization With EM-Based Federated Control Scheme for IIoTs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3178406
Abstract: Industrial Internet of Things (IIoTs) are significantly changing informative and manufacturing pattern in smart factories while it also brings security and trustworthiness issue. Concerning about trustworthiness issues and private preservation of tracking systems, a hierarchical… read more here.
Keywords: localization; trustworthy localization; control scheme; based federated ... See more keywords
FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3214308
Abstract: With the development of the Industrial Internet of Things system, the huge amount of devices, services, and continuous data, making it difficult to discover a trusted service in complex scenarios. To better leverage knowledge and… read more here.
Keywords: recommendation; fgc gcn; service; gcn based ... See more keywords
Multiple Diseases and Pests Detection Based on Federated Learning and Improved Faster R-CNN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3201937
Abstract: Traditional disease and pest detection technology employ cloud-based deep learning, which facing the pressures, such as high data storage and communication costs, unbalanced and insufficient data from orchards, diversity of pests and diseases, and complex… read more here.
Keywords: federated learning; faster cnn; detection; based federated ... See more keywords
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3253604
Abstract: Blockchain-based federated learning (BCFL) has recently gained tremendous attention because of its advantages, such as decentralization and privacy protection of raw data. However, there has been few studies focusing on the allocation of resources for… read more here.
Keywords: incentive mechanism; blockchain based; federated learning; based federated ... See more keywords