Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

With the increase of COVID-19 cases worldwide, an effective way is required to diagnose COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage and reliability of testing kits, due to the quick spread of the virus, medical practitioners are facing difficulty identifying the positive cases. The second real-world problem is to share the data among the hospitals globally while keeping in view the privacy concerns of the organizations. Building a collaborative model and preserving privacy are major concerns for training a global deep learning model. This paper proposes a framework that collects a small amount of data from different sources (various hospitals) and trains a global deep…

• NN
  National Natural Science Foundation of China

  Award: U2033212
• UO
  University of Electronic Science and Technology of China

  Award: Y03019023601016201