Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
Abstract: This paper gives a comprehensive review of quantum cryptographic advances in the context of the most critical vulnerabilities that classical encryption schemes have in the era of quantum ...
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