[HTML][HTML] A systematic literature review on the use of federated learning and bioinspired computing
R Marin Machado de Souza, A Holm, M Biczyk… - Electronics, 2024 - mdpi.com
Federated learning (FL) and bioinspired computing (BIC), two distinct, yet complementary
fields, have gained significant attention in the machine learning community due to their …
fields, have gained significant attention in the machine learning community due to their …
Breast cancer prediction using Shapely and Game theory in Federated Learning environment
Y Supriya, R Chengoden - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer is a critical health issue affecting the well-being of women. Breast cancer is
one of the most common causes of the increase in the mortality rate of women around the …
one of the most common causes of the increase in the mortality rate of women around the …
Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G
In recent years, smart healthcare, artificial intelligence (AI)‐aided diagnostics, and
automated surgical robots are just a few of the innovations that have emerged and gained …
automated surgical robots are just a few of the innovations that have emerged and gained …
An IoMT-based Federated Learning Survey in Smart Transportation
GV Karnam, PKR Maddikunta - Recent Advances in Computer …, 2024 - benthamdirect.com
Internet of Medical Things (IoMT) is a technology that encompasses medical devices,
wearable sensors, and applications connected to the Internet. In road accidents, it plays a …
wearable sensors, and applications connected to the Internet. In road accidents, it plays a …
Cluster knowledge-driven vertical federated learning
Z Yin, X Zhao, H Wang, X Zhang, X Guo… - The Journal of …, 2024 - Springer
In industrial scenarios, cross-departmental collaboration is necessary to achieve quality
traceability. However, data cannot be shared due to privacy concerns. Vertical Federated …
traceability. However, data cannot be shared due to privacy concerns. Vertical Federated …
A federated stroke segmentation to impact limited data institutions
Stroke, predominantly caused by blood vessel occlusion, is the second leading cause of
death worldwide. DWI sequences facilitate characterization of brain-affected tissue, enabling …
death worldwide. DWI sequences facilitate characterization of brain-affected tissue, enabling …
Optimization-Based DenseNet Federated
The research presents DenseFed-PSO, a novel approach for Alzheimer's disease
prediction, harnessing the power of DenseNet, Particle Swarm Optimization (PSO), and …
prediction, harnessing the power of DenseNet, Particle Swarm Optimization (PSO), and …
Transfer Learning based Deep Neural Network for Autonomous identification of Brain Tumor Disease
K Lamba, S Rani - 2023 International Conference on New …, 2023 - ieeexplore.ieee.org
Due to the significant role of brain in controlling as well as coordinating multi-functions of
body, it is considered as a complex and intricate organ due to which any damage to the …
body, it is considered as a complex and intricate organ due to which any damage to the …
DifEvoDenseFed: Differential Evolution Optimization Based DenseNet Federated Model in Alzheimer's detection
A Ghosh, P Krishnamoorthy - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
DifEvoDenseFed is introduced as an innovative solution for Alzheimer's disease prediction,
leveraging the combined strengths of Differential Evolution Optimization (DifEvo), DenseNet …
leveraging the combined strengths of Differential Evolution Optimization (DifEvo), DenseNet …
DenseFed-PSO: Particle Swarm Optimization-Based DenseNet Federated Model in Alzheimer's Detection
The research presents DenseFed-PSO, a novel approach for Alzheimer's disease
prediction, harnessing the power of DenseNet, Particle Swarm Optimization (PSO), and …
prediction, harnessing the power of DenseNet, Particle Swarm Optimization (PSO), and …