Differentially Private Active Learning: Balancing Effective Data Selection and Privacy

1 code implementation • 1 Oct 2024 • Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rueckert, Georgios Kaissis

This work addresses this gap by introducing differentially private active learning (DP-AL) for standard learning settings.

Active Learning Privacy Preserving