// Federated Privacy Algorithms
//
// This module implements privacy-preserving algorithms specifically designed
// for federated learning scenarios, including secure aggregation, client-side
// differential privacy, privacy amplification through federation, advanced
// threat modeling, and cross-silo federated learning with heterogeneous clients.
// Re-export main types and structs for public API
pub use *;
pub use *;
pub use *;
// Re-export the main coordinator for backwards compatibility
pub use FederatedPrivacyCoordinator;