MediSecFed: Private and Secure Medical Image Classification in the Presence of Malicious Clients
IEEE Transactions on Industrial Informatics(2022)
Abstract
Deep learning demonstrates its efficacy and potential to solve challenging computer vision problems in medical and other industrial applications. Federated learning is a learning paradigm that facilitates collaborative learning in a federation of users without exchanging actual data with a single authority like a server. However, federated learning provides only a basic level of privacy and robust...
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Key words
Data models,Computational modeling,Data privacy,Training,Medical diagnostic imaging,Servers,Medical services
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