Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study

Residential traffic classification supports service management, but learning across homes must account for heterogeneous traffic and privacy constraints. Privacy-aware training may impose uneven costs across traffic categories. We study this tradeoff in simulated two-client federated learning using