no code implementations • 12 Sep 2022 • Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee
Federated learning (FL) aims to perform privacy-preserving machine learning on distributed data held by multiple data owners.
no code implementations • 25 Nov 2021 • Sanjay Kariyappa, Moinuddin K Qureshi
Split learning is a popular technique used for vertical federated learning (VFL), where the goal is to jointly train a model on the private input and label data held by two parties.
no code implementations • 6 Apr 2021 • Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi
To this end, we propose Adaptive Noise Injection (ANI), which uses a light-weight DNN on the client-side to inject noise to each input, before transmitting it to the service provider to perform inference.
no code implementations • ICLR 2021 • Sanjay Kariyappa, Atul Prakash, Moinuddin K Qureshi
EDM is made up of models that are trained to produce dissimilar predictions for OOD inputs.