MediSecFed: Private and Secure Medical Image Classification in the Presence of Malicious Clients

IEEE Transactions on Industrial Informatics(2022)

Cited 12|Views12
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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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