4 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CR2023★ 4 cited
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar, Shan Wang, Audra McMillan +34
We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Locally differentially private…
cs.CR2022★ 3 cited
Private Federated Statistics in an Interactive Setting
Audra McMillan, Omid Javidbakht, Kunal Talwar +21
Privately learning statistics of events on devices can enable improved user experience. Differentially private algorithms for such problems can benefit significantly from interacti…
cs.SE2019★ 4 cited
Debugging Crashes using Continuous Contrast Set Mining
Rebecca Qian, Yang Yu, Wonhee Park +3
Facebook operates a family of services used by over two billion people daily on a huge variety of mobile devices. Many devices are configured to upload crash reports should the app…