Advances and open problems in federated learning

P Kairouz, HB McMahan, B Avent… - … and trends® in …, 2021 - nowpublishers.com
Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

Large language models can be strong differentially private learners

X Li, F Tramer, P Liang, T Hashimoto - ar** in private sgd: A geometric perspective
X Chen, SZ Wu, M Hong - Advances in Neural Information …, 2020 - proceedings.neurips.cc
Deep learning models are increasingly popular in many machine learning applications
where the training data may contain sensitive information. To provide formal and rigorous …

Label leakage and protection in two-party split learning

O Li, J Sun, X Yang, W Gao, H Zhang, J **: Differentially private deep learning made easier and stronger
Z Bu, YX Wang, S Zha… - Advances in Neural …, 2024 - proceedings.neurips.cc
Per-example gradient clip** is a key algorithmic step that enables practical differential
private (DP) training for deep learning models. The choice of clip** threshold $ R …