Conference
Jul 2026
Aggregate-Only Observability for Privacy–Utility Tradeoffs in Federated Learning
Federated Learning (FL) avoids centralizing raw data, but server-side access to per-client updates still creates a significant privacy risk because gradients can leak sensitive information through inversion and related attacks. A common defense is client-level Differential Privacy (DP), which reduces attack fidelity by...
Clifford N. Jones, Md Nahid Hasan, S. Wagle et al.
· International Conference on... · 0 citations