With the help of machine learning (ML) – or often referred to as AI – and a large amount of […]
Category: Privacy-Preserving Computation
MPC-based Secure Aggregation in Federated Learning: Overview, Protocols, & Google’s Gboard
As digitalization progresses, it is becoming increasingly attractive to learn from as much data as possible in order to, e.g., […]
Evaluation of Secure-Multi-Party-Computation-Frameworks for the Web Browser
Secure Multi-Party Computation (MPC) is now a practical privacy-preserving cryptographic building block. With the help of MPC, numerous data analyses […]
Evaluation of MPC’s State of the Art
Data holds the enormous potential to learn a lot from it and thus improve practically all areas of life. Especially […]