Abstract: Privacy-preserving federated learning can protect the privacy of model gradients/parameters in the model aggregation phase. Most existing schemes only ...
Abstract: In light of the emergence of privacy breaches in federated learning, secure aggregation protocols, which mainly adopt either homomorphic encryption or threshold secret sharing techniques, ...
A Java-based performance testing framework and knowledge base engine. This project implements a fully functional, self-balancing AVL Tree from scratch to manage and query a generative AI dataset. The ...
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