FedSGDCOVID: Federated SGD COVID-19 detection under local differential privacy using chest X-ray images and symptom information
… federated learning system for COVID-19 detection without sharing data among data owners.
First, we constructed a federated learning … of federated learning for COVID-19 identification …
First, we constructed a federated learning … of federated learning for COVID-19 identification …
A study of blockchain-based federated learning
… With our focus on BFL studies, two search keywords—Federated Learning and Blockchain—…
a BFL-based COVID-19 detection framework that can detect patterns of COVID-19 from the …
a BFL-based COVID-19 detection framework that can detect patterns of COVID-19 from the …
Privacy-preserved credit data sharing integrating blockchain and federated learning for industrial 4.0
F Yang, Y Qiao, MZ Abedin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… dataset [19]–[23]. Federated learning consists of two phases: a model training phase and
a … For further testing the performance of our credit model sharing approach, we compare …
a … For further testing the performance of our credit model sharing approach, we compare …
A federated learning and blockchain framework for physiological signal classification based on continual learning
… In the testing period, we employ a method based on Kullback-Leibler divergence (KL-divergence)
[10] to lessen the shared knowledge among classes, so as to increase the separation …
[10] to lessen the shared knowledge among classes, so as to increase the separation …
Blockchain-based two-stage federated learning with non-IID data in IoMT system
… is one of the most popular implementation methods [17], [18], [19], [20]. … algorithm called
P2PK-SMOTE was proposed to train supervised anomaly detection machine learning models in …
P2PK-SMOTE was proposed to train supervised anomaly detection machine learning models in …
A blockchain-empowered federated learning in healthcare-based cyber physical systems
… for healthcare radio-frequency identification (RFID) is proposed, … blockchain architecture,
GlobalChain is proposed for global medical information sharing in the context of COVID-19 [31]. …
GlobalChain is proposed for global medical information sharing in the context of COVID-19 [31]. …
Blockchained service provisioning and malicious node detection via federated learning in scalable Internet of Sensor Things networks
… We use federated learning for the detection of malicious nodes, which uses SVM and RF …
blockchain based mechanism for malicious node detection in the IoSTs. The federated learning …
blockchain based mechanism for malicious node detection in the IoSTs. The federated learning …
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
… Furthermore, the blockchain system verifies the data, and the … In addition, we leverage
the edge and blockchain systems to … Blockchain Deep Learning for COVID-19 Detection (BDLCD) …
the edge and blockchain systems to … Blockchain Deep Learning for COVID-19 Detection (BDLCD) …
Federated learning for medical image analysis with deep neural networks
S Nazir, M Kaleem - Diagnostics, 2023 - mdpi.com
… FL was used for COVID-19 detection with CT images using a … of CT images for COVID-19
detection, showing better … learning machines (ELM) for classification, and blockchain …
detection, showing better … learning machines (ELM) for classification, and blockchain …
Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks
A Yazdinejad, A Dehghantanha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
… to anomaly detection, especially in relation to blockchain and … of Deep Learning and
blockchainbased FL to detect COVID-19. … learning model using blockchain-based federated …
blockchainbased FL to detect COVID-19. … learning model using blockchain-based federated …