Modern communication networks must balance efficiency with user privacy. Here, authors develop a privacy-preserving interpretable Bayesian framework that enables network optimization using only aggregated data, without compromising individual user information.
- Dongxu Lei
- Xiaotian Lin
- Stefano Boccaletti