Topology-Aware Differential Privacy in Federated Learning
This work identifies federated learning’s communication topology as a privacy channel orthogonal to DP-SGD, and derives a topology-aware noise allocation that provably dominates uniform DP-SGD on the per-client leakage bound at no measurable utility cost.