Privacy-Aware Compression for Federated Data Analysis. (arXiv:2203.08134v1 [cs.LG])

Federated data analytics is a framework for distributed data analysis where a
server compiles noisy responses from a group of distributed low-bandwidth user
devices to estimate aggregate statistics. Two major challenges in this
framework are privacy, since user data is often sensitive, and compression,
since the user devices have low network bandwidth. Prior work has addressed
these challenges separately by combining standard compression algorithms with
known privacy mechanisms. In this work, we take a holistic look at the problem
and …

analysis compression data data analysis lg privacy