TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)

Harish Karthikeyan, Antigoni Polychroniadou

Privacy-preserving aggregation is a cornerstone for AI systems that learn from distributed data without exposing individual records, especially in federated learning and telemetry.…