2025
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
ICLR 2025poster
Federated learning (FL) with differential privacy (DP) provides a framework for collaborative machine learning, enabling clients to train a shared model while adhering to strict privacy constraints. The framework allows each client to have an individual privacy guarantee, e.g., by adding different a…