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Workshop
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter · Nicolas Jourdan · Tristan Wirth · Volker Knauthe · Arjan Kuijper
Workshop
Sat 9:05 One-shot Empirical Privacy Estimation for Federated Learning
Galen Andrew · Peter Kairouz · Sewoong Oh · Alina Oprea · H. Brendan McMahan · Vinith Suriyakumar
Poster
Tue 15:15 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Berivan Isik · Wei-Ning Chen · Ayfer Ozgur · Tsachy Weissman · Albert No
Poster
Wed 8:45 Unbounded Differentially Private Quantile and Maximum Estimation
David Durfee
Poster
Wed 8:45 Decision Tree for Locally Private Estimation with Public Data
Yuheng Ma · Han Zhang · Yuchao Cai · Hanfang Yang
Workshop
Private and Personalized Histogram Estimation in a Federated Setting
Amrith Setlur · Vitaly Feldman · Kunal Talwar
Poster
Thu 8:45 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz
Workshop
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Karuna Bhaila · Wen Huang · Yongkai Wu · Xintao Wu
Poster
Wed 15:00 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park