Gradient Boosting is a technique to add weaker algorithms together using a procedure similar to gradient descent, in order to minimize the loss function and make them into a stronger algorithm. New ...

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However, these schemes have limitations in terms of security or efficiency. To address these issues, we propose an efficient and privacy-preserving vertical federated learning framework based on the ...

Network intrusion detection systems (NIDS) are a critical part of ensuring the integrity and reliability of a network, which is essential in secure communication. To achieve this, an efficient NIDS ...