Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning
<p dir="ltr">Federated learning has gained extensive interest in recent years owing to its ability to update model parameters without obtaining raw data from users, which makes it a viable privacy-preserving machine learning model for collaborative distributed learning among various...
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2023
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