Browsing by Subject "Federated Learning"
Now showing items 1-5 of 5
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Blockchain-based edge computing for medical data storage & processing using federated learning
(Brac University, 2021-06)With a great number of IoT devices being used in healthcare and a massive rise in medical data produced by these devices, data storage and processing systems using the traditional cloud computing framework are not enough ... -
A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
(Brac University, 2022-05)Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ... -
Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
(Brac University, 2022-09)Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image ... -
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing to privacy concerns. Therefore, data collection ... -
LSTM based content prediction for edge caching using federated learning approach
(Brac University, 2021-06)With rapid expansion and worldwide penetration of internet usage, there has been a rapid growth and development in the field of communication technology. To meet a never ending demand of excellence in quality and ...
