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Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans
To solve this challenging task, we propose a blockchain-based federated learning framework that provides collaborative data training solutions by coordinating multiple hospitals to train and share encrypted federated models without leakage of data privacy.
An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data
Furthermore, we adopt an efficient union-find algorithm to maintain the clustering information in order to reduce redundancies in the merging.
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