Blockchain based Federated Learning approach for Detection of COVID- 19 using Io MT

During COVID-19 pandemic, the Inter- net of Medical Things (IoMT) is gaining a lot of attention. Due to the increase in COVID-19 cases, there is a requirement of auto-diagnosis of COVID- 19 patients. Nowadays, many hospitals provide the patients with the wearable devices for regulating andmonitoring their health. Hospitals have complete e- data of the patients starting from their diagnosis till their recovery. Security and privacy of this data is also very important. We propose a blockchain based federated learning approach for detection of COVID-19 patients using IoMT devices. Based on learning of local machines at hospitals, aggregated learning is done on global machine. A hybrid approach using Capsule network and MultiLayer Perceptron (MLP) has been used for classification of images. Ethereum blockchain platform is used for providing security to the global data. The proposed framework provides more accuracy and security for the detection of COVID-19 patients and monitoring their health