2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara, Antonious M. Girgis, Deepesh Data +1
A distinguishing characteristic of federated learning is that the (local) client data could have statistical heterogeneity. This heterogeneity has motivated the design of personali…
cs.CR2021
Flexible Accuracy for Differential Privacy
Aman Bansal, Rahul Chunduru, Deepesh Data +1
Differential Privacy (DP) has become a gold standard in privacy-preserving data analysis. While it provides one of the most rigorous notions of privacy, there are many settings whe…