On the Volatility of Shapley-Based Contribution Metrics in Federated Learning

Arno Geimer, Beltran Fiz, Radu State

Federated learning (FL) is a collaborative and privacy-preserving Machine Learning paradigm, allowing the development of robust models without the need to centralize sensitive data…