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
Interaction Framework and Method of Electric Vehicles Aggregator and Distribution Transformer Area Based on Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3620689
Abstract: With the large - scale adoption of electric vehicles (EVs), their interaction with the power grid has become crucial for maintaining electricity balance in distribution networks. However, data privacy protection in the exchange between EV… read more here.
Keywords: distribution; framework; electric vehicles; based federated ... 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
WFSL: Warmup-Based Federated Sequential Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3467110
Abstract: Federated learning (FL) gained importance in sensitive Internet of Things (IoT) environments by creating a privacy-preserving ecosystem where participants share machine-learning models instead of raw data. However, FL shifts data control away from the server,… read more here.
Keywords: sequential learning; federated sequential; based federated; non iid ... 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
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning for Autonomous Visual Robot Navigation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3498778
Abstract: Centralized learning requires data to be aggregated at a central server, which poses significant challenges in terms of data privacy and bandwidth consumption. Federated learning presents a compelling alternative, however, vanilla federated learning methods deployed… read more here.
Keywords: clustering based; navigation; based federated; robot navigation ... See more keywords
Contribution- and Participation-Based Federated Learning on Non-IID Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Systems"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Network"
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