28 citations · 57 across the 5 of their papers we have counts for
5 papers
Cumulative differences between paired samples
Isabel Kloumann, Hannah Korevaar, Chris McConnell +2
The simplest, most common paired samples consist of observations from two populations, with each observed response from one population corresponding to an observed response from th…
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA
Jessica Zhao, Sayan Ghosh, Akash Bharadwaj +1
Semi-Supervised Learning (SSL) has received extensive attention in the domain of computer vision, leading to development of promising approaches such as FixMatch. In scenarios wher…
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles +9
We introduce Opacus, a free, open-source PyTorch library for training deep learning models with differential privacy (hosted at opacus.ai). Opacus is designed for simplicity, flexi…
The Design of the User Interfaces for Privacy Enhancements for Android
Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson +22
We present the design and design rationale for the user interfaces for Privacy Enhancements for Android (PE for Android). These UIs are built around two core ideas, namely that dev…
FedCD: Improving Performance in non-IID Federated Learning
Kavya Kopparapu, Eric Lin, Jessica Zhao
Federated learning has been widely applied to enable decentralized devices, which each have their own local data, to learn a shared model. However, learning from real-world data ca…