Ronghua Ma

Secure Mutual Model Assessment for Robust Federated Learning Under Data Heterogeneity

2025

Federated Learning (FL) enables distributed model training while maintaining data privacy, but it often suffers performance degradation due to data heterogeneity among clients. Traditional aggregation methods, relying on centralized servers, are vulnerable to Byzantine attacks …