Jul 23, 2024 · In this paper, we propose a privacy-preserving edge FL framework for resource-constrained mobile-health and wearable technologies over the IoT infrastructure.

Jul 31, 2024 · Full length article. Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees.

Sep 16, 2024 · In this paper, we propose a novel protocol for the private classification of a client request in a non-interactive manner.

Mar 7, 2024 · The integration of FL technology with decision tree models holds immense potential for performance enhancement and privacy improvement. One current challenge is ...

Sep 7, 2024 · The standard ``in the clear'' algorithm to grow decision trees on data with continuous values requires sorting of training examples for each feature in the ...

Jul 2, 2024 · Decision trees are an important class of supervised learning algo- rithms. When multiple entities contribute data to train a decision tree (e.g. for fraud ...

Apr 19, 2024 · In this paper, we present an alternative approach that utilizes both differential privacy and SMC to balance these trade-offs.

Dec 7, 2024 · In this paper, we provide a review of the state-of-the-art methods for privacy. We discuss methods for randomization, k-anonymization, and distributed privacy- ...

Jun 10, 2024 · Even though the target of machine unlearning is to protect the privacy of the data, recent researchers have found that unlearning schemes may jeopardize privacy ...

Oct 30, 2024 · [31] propose a privacy-preserving GCN model named DP-GCN that can conceal the value of the private sensitive information that has been exposed by public users ...