activity
20182025
most citedBreaking the Communication-Privacy-Accuracy Trilemma

32 citations · 65 across the 17 of their papers we have counts for

collaborators
Showing 2023 · stat.MLShow all

1 paper · 2 filters

stat.ML2023★ 5 cited

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation

Wei-Ning Chen, Dan Song, Ayfer Ozgur +1

Privacy and communication constraints are two major bottlenecks in federated learning (FL) and analytics (FA). We study the optimal accuracy of mean and frequency estimation (canon…