Inferring Contributions in Privacy-Preserving Federated Learning

Övrig text i vetenskaplig tidskrift, 2025

To what extent do individual contributions enhance the overall outcome of collaborative work? This question naturally arises across scientific fields and is particularly challenging in Federated Learning. It remains largely unexplored in privacy-preserving settings where individual actions are concealed with techniques like Secure Aggregation.